we have a borderland paper!

analysis/output_borderlands/border_type_split_results.csv

@@ -0,0 +1,25 @@
+model_family,outcome,term,coef,pvalue,nobs
+RQ1_levels_border_type,inspection_intensity,has_tx_mex,0.04003308327362634,0.7893392258855197,143
+RQ1_levels_border_type,inspection_intensity,has_tx_nm,-0.053454892086014505,0.5341229765373161,143
+RQ1_levels_border_type,inspection_intensity,has_tx_ok,-0.013293010519656312,0.8359059310807307,143
+RQ1_levels_border_type,inspection_intensity,has_tx_la,0.0659757787786407,0.3726715338386958,143
+RQ1_levels_border_type,avg_days_to_enforcement,has_tx_mex,43.19551450861897,0.3091572398653848,143
+RQ1_levels_border_type,avg_days_to_enforcement,has_tx_nm,-73.75794726192765,0.061051456427313334,143
+RQ1_levels_border_type,avg_days_to_enforcement,has_tx_ok,88.53761586596549,0.021045770740860285,143
+RQ1_levels_border_type,avg_days_to_enforcement,has_tx_la,26.134236687626185,0.619285515410563,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_2019:has_tx_mex,0.08209727496562592,0.5404773876881401,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_2019:has_tx_nm,-0.11522107423566971,0.12190134102233621,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_2019:has_tx_ok,0.06540675508822263,0.30453805147136337,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_2019:has_tx_la,0.019691447134989284,0.7084620100153145,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_trend:has_tx_mex,-0.019497238114948245,0.31091391655214695,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_trend:has_tx_nm,0.005125152939766828,0.6920170481863954,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_trend:has_tx_ok,-4.73058185549019e-05,0.9975906161904077,143
+RQ2_FE_border_type_interactions,inspection_intensity,post_trend:has_tx_la,-0.019731274715241484,0.28085237170390054,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_2019:has_tx_mex,4.089987550447354,0.9061834734059393,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_2019:has_tx_nm,-18.744184897167933,0.6013252122112276,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_2019:has_tx_ok,-14.244633686588397,0.8134346799274497,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_2019:has_tx_la,-43.65984294535339,0.6414995635196573,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_trend:has_tx_mex,-0.014785326896972872,0.9991292137842269,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_trend:has_tx_nm,22.906694978425094,0.0189471590749384,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_trend:has_tx_ok,-16.71881811942892,0.0793618699449027,143
+RQ2_FE_border_type_interactions,avg_days_to_enforcement,post_trend:has_tx_la,0.6415198480610695,0.9550577950525045,143

analysis/output_borderlands/competition_asymmetry_results.csv

@@ -0,0 +1,3 @@
+term,coef,pvalue
+gap_pos,0.5837237255602971,2.136598322140727e-12
+gap_neg,0.4992993269121899,0.002732858841151439

analysis/output_borderlands/continuous_exposure_results.csv

@@ -0,0 +1,13 @@
+model_family,outcome,term,coef,pvalue,nobs
+RQ1_levels_continuous,inspection_intensity,share_border_exposed_insp,0.20951653517966445,0.4757374404815341,143
+RQ1_levels_continuous,avg_days_to_enforcement,share_border_exposed_insp,103.46834960978197,0.5709519862311894,143
+RQ1_levels_continuous,violations_per_inspection,share_border_exposed_insp,-0.15852551419507566,0.014408391894926667,143
+RQ1_levels_continuous,resolution_rate,share_border_exposed_insp,-0.04201731182062017,0.861870472401378,143
+RQ2_FE_continuous,inspection_intensity,post_2019:share_border_exposed_insp,0.034848767606236564,0.8649583733167887,143
+RQ2_FE_continuous,inspection_intensity,post_trend:share_border_exposed_insp,-0.012873537006561409,0.8280529913520056,143
+RQ2_FE_continuous,avg_days_to_enforcement,post_2019:share_border_exposed_insp,-109.40674971672345,0.44493150905261736,143
+RQ2_FE_continuous,avg_days_to_enforcement,post_trend:share_border_exposed_insp,13.962326088103937,0.7415280151598316,143
+RQ2_FE_continuous,violations_per_inspection,post_2019:share_border_exposed_insp,-0.00530645753477659,0.9389719698820024,143
+RQ2_FE_continuous,violations_per_inspection,post_trend:share_border_exposed_insp,0.009575165567304306,0.5011696898144554,143
+RQ2_FE_continuous,resolution_rate,post_2019:share_border_exposed_insp,-0.03222305651883502,0.8163497453461249,143
+RQ2_FE_continuous,resolution_rate,post_trend:share_border_exposed_insp,-0.09792418547271213,0.042322952719870376,143

analysis/output_borderlands/cutoff_sensitivity_results.csv

@@ -0,0 +1,10 @@
+cutoff_km,model_family,outcome,term,coef,pvalue,nobs
+25,RQ1_levels,inspection_intensity,share_border_25km,0.538592968235986,0.422789816148026,143
+25,RQ2_FE,avg_days_to_enforcement,post_2019:share_border_25km,-101.92826819730227,0.7010300513734967,143
+25,RQ2_FE,avg_days_to_enforcement,post_trend:share_border_25km,30.60872837459439,0.7697833326194202,143
+75,RQ1_levels,inspection_intensity,share_border_75km,0.07941761791919263,0.6963083371539914,143
+75,RQ2_FE,avg_days_to_enforcement,post_2019:share_border_75km,-75.65907483700701,0.5115965713174391,143
+75,RQ2_FE,avg_days_to_enforcement,post_trend:share_border_75km,-0.009026389530391032,0.9996966988266395,143
+100,RQ1_levels,inspection_intensity,share_border_100km,0.002190238269914685,0.9872238810729579,143
+100,RQ2_FE,avg_days_to_enforcement,post_2019:share_border_100km,-4.47953603353538,0.9473512061250438,143
+100,RQ2_FE,avg_days_to_enforcement,post_trend:share_border_100km,-12.65867895471104,0.5147326655308914,143

analysis/output_borderlands/district_border_type_profile.csv

@@ -0,0 +1,14 @@
+district,n_wells,n_tx_mex,n_tx_nm,n_tx_ok,n_tx_la,share_n_tx_mex,share_n_tx_nm,share_n_tx_ok,share_n_tx_la,has_tx_mex,has_tx_nm,has_tx_ok,has_tx_la,dominant_border_type
+01,31898,7377,0,0,0,0.2312684180826384,0.0,0.0,0.0,1,0,0,0,TX-MX
+02,17099,0,0,0,0,0.0,0.0,0.0,0.0,0,0,0,0,NONE
+03,16700,0,0,0,1947,0.0,0.0,0.0,0.11658682634730538,0,0,0,1,TX-LA
+04,20973,13389,0,0,0,0.6383922185667287,0.0,0.0,0.0,1,0,0,0,TX-MX
+05,9938,0,0,22,0,0.0,0.0,0.0022137250955926746,0.0,0,0,1,0,TX-OK
+06,24422,0,0,716,12786,0.0,0.0,0.029317828187699613,0.5235443452624683,0,0,1,1,TX-LA
+08,105931,6,20180,0,0,5.664064343770945e-05,0.19050136409549612,0.0,0.0,1,1,0,0,TX-NM
+09,46485,0,0,0,0,0.0,0.0,0.0,0.0,0,0,0,0,NONE
+10,29621,0,27,8946,0,0.0,0.0009115154788832247,0.3020154620033085,0.0,0,1,1,0,TX-OK
+6E,6235,0,0,0,0,0.0,0.0,0.0,0.0,0,0,0,0,NONE
+7B,21230,0,0,0,0,0.0,0.0,0.0,0.0,0,0,0,0,NONE
+7C,43061,0,0,0,0,0.0,0.0,0.0,0.0,0,0,0,0,NONE
+8A,42005,0,17567,0,0,0.0,0.418212117605047,0.0,0.0,0,1,0,0,TX-NM

analysis/output_borderlands/district_year_panel_borderlands.csv

@@ -0,0 +1,144 @@
+district,year,total_inspections,unique_wells,compliant_inspections,border_exposed_insp,inspection_intensity,compliance_rate,share_border_exposed_insp,total_violations,major_violations,compliant_on_reinsp,avg_days_to_enforcement,med_days_to_enforcement,violations_per_inspection,major_share,resolution_rate,post_2019,year_from_policy,post_trend,border_district,border_exposure_district
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+05,2016,4332,3134,3740,29,1.3822590938098276,0.863342566943675,0.006694367497691598,675,0,194,78.25185185185185,13.0,0.15581717451523547,0.0,0.2874074074074074,0,-3,0,0,0
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+05,2018,5713,4678,5450,53,1.2212483967507481,0.95396464204446,0.009277087344652548,223,0,106,432.2062780269058,209.0,0.03903378260108525,0.0,0.47533632286995514,0,-1,0,0,0
+05,2019,6436,4722,6016,14,1.3629817873782295,0.9347420758234929,0.002175264139216905,429,0,161,464.5128205128205,564.0,0.06665630826600373,0.0,0.3752913752913753,1,0,0,0,0
+05,2020,5498,3721,5147,30,1.4775597957538296,0.9361586031284104,0.005456529647144416,380,0,162,262.4657894736842,113.0,0.06911604219716261,0.0,0.4263157894736842,1,1,1,0,0
+05,2021,5513,3572,4847,15,1.5433930571108623,0.8791946308724832,0.0027208416470161437,351,4,204,149.6866096866097,32.0,0.06366769454017776,0.011396011396011397,0.5811965811965812,1,2,2,0,0
+05,2022,4743,3292,4057,10,1.4407654921020656,0.8553658022348725,0.002108370229812355,461,0,214,120.9240780911063,21.0,0.09719586759434956,0.0,0.4642082429501085,1,3,3,0,0
+05,2023,6835,4829,6208,14,1.4154069165458687,0.9082662765179225,0.0020482809070958303,459,0,245,148.0653594771242,45.0,0.06715435259692758,0.0,0.5337690631808278,1,4,4,0,0
+05,2024,7906,5254,7331,38,1.5047582794061667,0.9272704275233999,0.004806476094105743,380,0,138,223.84736842105264,208.0,0.048064760941057424,0.0,0.3631578947368421,1,5,5,0,0
+05,2025,5244,3601,4710,23,1.4562621494029435,0.8981693363844394,0.0043859649122807015,192,0,68,72.08333333333333,21.5,0.036613272311212815,0.0,0.3541666666666667,1,6,6,0,0
+06,2015,4068,3271,3675,1577,1.243656374197493,0.9033923303834809,0.38765978367748277,416,0,229,178.08173076923077,62.0,0.10226155358898721,0.0,0.5504807692307693,0,-4,0,1,1
+06,2016,8969,5885,7662,4514,1.5240441801189464,0.8542758390010035,0.5032891069238488,1887,0,397,228.28510863804982,35.0,0.21039134797636302,0.0,0.21038685744568097,0,-3,0,1,1
+06,2017,8914,6700,7912,3899,1.3304477611940297,0.8875925510433027,0.43740183980255776,973,0,278,742.841726618705,449.0,0.109154139555755,0.0,0.2857142857142857,0,-2,0,1,1
+06,2018,15435,11112,14109,8617,1.3890388768898487,0.9140913508260448,0.5582766439909297,1431,0,439,750.711390635919,844.0,0.09271137026239067,0.0,0.30677847658979734,0,-1,0,1,1
+06,2019,13606,10012,12492,5495,1.3589692369157012,0.9181243569013671,0.40386594149639865,1194,1,456,364.8249581239531,307.5,0.08775540202851682,0.0008375209380234506,0.38190954773869346,1,0,0,1,1
+06,2020,17383,11984,16328,7998,1.4505173564753004,0.9393085198182132,0.46010469999424725,1036,1,398,321.2364864864865,239.0,0.05959845826382097,0.0009652509652509653,0.3841698841698842,1,1,1,1,1
+06,2021,16026,10557,15032,7315,1.5180448991190678,0.9379757893423187,0.45644577561462624,662,1,373,181.7190332326284,79.5,0.04130787470360664,0.0015105740181268882,0.5634441087613293,1,2,2,1,1
+06,2022,18455,11832,17184,7784,1.5597532116294794,0.9311297751286914,0.4217827147114603,959,1,534,88.77476538060479,23.0,0.051964237334055814,0.0010427528675703858,0.556830031282586,1,3,3,1,1
+06,2023,16331,10742,15663,7952,1.5202941724073729,0.9590961974159574,0.48692670381483066,469,2,235,119.1727078891258,21.0,0.0287183883411916,0.0042643923240938165,0.5010660980810234,1,4,4,1,1
+06,2024,17953,12114,17173,7723,1.4820042925540697,0.9565532223026793,0.43017880020052357,605,1,270,98.69752066115703,28.0,0.03369910321394753,0.001652892561983471,0.4462809917355372,1,5,5,1,1
+06,2025,16291,11469,15327,8213,1.420437701630482,0.9408262230679516,0.504143392056964,687,0,189,65.43231441048034,24.0,0.04217052360198883,0.0,0.27510917030567683,1,6,6,1,1
+08,2015,5386,4563,4680,798,1.1803637957484112,0.8689194207203862,0.14816190122539918,982,0,450,163.61608961303463,42.0,0.1823245451169699,0.0,0.45824847250509165,0,-4,0,1,0
+08,2016,12946,9506,11004,1732,1.3618767094466653,0.8499922756063649,0.13378649775992585,3243,0,1012,144.12025901942647,9.0,0.25050208558628145,0.0,0.3120567375886525,0,-3,0,1,0
+08,2017,16113,13525,14334,1453,1.1913493530499075,0.889592254701173,0.0901756345807733,2132,0,1327,114.91181988742964,12.0,0.13231552162849872,0.0,0.6224202626641651,0,-2,0,1,0
+08,2018,26554,23106,24445,3876,1.1492253094434346,0.9205769375611961,0.14596670934699105,3201,0,1919,118.68697282099345,14.0,0.12054681027340514,0.0,0.5995001562011871,0,-1,0,1,0
+08,2019,40932,35453,38184,10438,1.1545426339096831,0.9328642626795661,0.2550083064594938,3359,0,1868,95.80500148853825,26.0,0.08206293364604711,0.0,0.5561178922298303,1,0,0,1,1
+08,2020,28302,23073,25143,5844,1.2266285268495645,0.8883824464702141,0.2064871740513038,3263,0,2026,68.49524977015017,7.0,0.11529220549784468,0.0,0.6209010113392583,1,1,1,1,0
+08,2021,22042,16683,19130,5680,1.3212251993046815,0.8678885763542328,0.2576898648035568,3058,0,2199,64.95879659908437,6.0,0.13873514200163325,0.0,0.7190974493132767,1,2,2,1,1
+08,2022,48465,38161,45248,11950,1.270013888524934,0.9336222015887754,0.2465696894666254,3494,0,2867,40.59244419004007,4.0,0.07209326317961415,0.0,0.8205495134516314,1,3,3,1,0
+08,2023,52877,42189,49581,12154,1.2533361776766456,0.9376666603627286,0.2298541899124383,3349,0,2298,36.20274708868319,6.0,0.06333566579041927,0.0,0.6861749776052553,1,4,4,1,0
+08,2024,58096,47130,56083,8265,1.2326755781879906,0.9653504544202699,0.14226452767832554,2154,0,1668,52.12163416898793,11.0,0.03707656293032222,0.0,0.7743732590529248,1,5,5,1,0
+08,2025,42273,35232,40607,7256,1.1998467302452316,0.9605895015731082,0.17164620443308967,1746,0,975,43.46735395189003,15.0,0.04130295933574622,0.0,0.5584192439862543,1,6,6,1,0
+09,2015,8372,6446,7266,0,1.2987899472541111,0.8678929765886287,0.0,1358,0,582,81.51693667157585,14.0,0.16220735785953178,0.0,0.42857142857142855,0,-4,0,1,0
+09,2016,14567,10194,11779,0,1.4289778300961349,0.8086084986613579,0.0,3637,0,1178,136.2075886719824,15.0,0.24967392050525158,0.0,0.3238933186692329,0,-3,0,1,0
+09,2017,15021,12037,12398,0,1.24790230123785,0.8253778044071634,0.0,3671,0,958,286.1024244075184,14.0,0.24439118567339058,0.0,0.26096431490057204,0,-2,0,1,0
+09,2018,24236,19841,19161,0,1.2215110125497706,0.7906007592011883,0.0,6846,1,3228,450.13175576979256,192.0,0.2824723551741211,0.00014607069821793748,0.4715162138475022,0,-1,0,1,0
+09,2019,18833,14569,15377,0,1.2926762303521175,0.8164923272978283,0.0,3605,4,1573,224.47045769764216,78.0,0.19141931715605587,0.0011095700416088765,0.4363384188626907,1,0,0,1,0
+09,2020,18188,13448,15687,0,1.3524687685901249,0.8624917528040467,0.0,2392,0,1609,133.00376254180603,35.0,0.13151528480316693,0.0,0.6726588628762542,1,1,1,1,0
+09,2021,19052,13021,15592,0,1.4631748713616466,0.8183917698929246,0.0,3629,0,2623,69.73436208321851,12.0,0.1904786899013227,0.0,0.7227886470101956,1,2,2,1,0
+09,2022,17806,12458,14011,0,1.429282388826457,0.7868695945187015,0.0,4073,0,3030,68.36066781242327,19.0,0.22874312029652927,0.0,0.743923397986742,1,3,3,1,0
+09,2023,18146,13742,14138,0,1.3204773686508513,0.7791248760057313,0.0,4328,3,3041,42.07231977818854,7.0,0.23850986443293287,0.0006931608133086876,0.702634011090573,1,4,4,1,0
+09,2024,17223,13311,14189,0,1.2938922695514987,0.8238402136677698,0.0,3401,4,1903,38.17112613937077,4.0,0.1974685014225164,0.0011761246692149367,0.5595413113790062,1,5,5,1,0
+09,2025,18899,13947,15074,0,1.3550584355058435,0.7976083390655591,0.0,4196,2,2544,24.897521448999047,6.0,0.22202232922376847,0.00047664442326024784,0.6062917063870352,1,6,6,1,0
+10,2015,5476,3902,4973,1200,1.4033828805740647,0.9081446311176041,0.2191380569758948,551,0,372,27.76769509981851,5.0,0.1006208911614317,0.0,0.6751361161524501,0,-4,0,1,0
+10,2016,11423,7102,9966,2565,1.608420163334272,0.8724503195307712,0.22454696664624005,1292,0,957,64.16640866873065,5.0,0.11310513875514314,0.0,0.7407120743034056,0,-3,0,1,0
+10,2017,10453,7638,9398,2526,1.3685519769573187,0.8990720367358653,0.24165311393858221,1114,0,931,58.30879712746858,6.0,0.10657227590165502,0.0,0.8357271095152603,0,-2,0,1,0
+10,2018,12268,9433,10769,3568,1.300540655146825,0.8778121943267037,0.29083795239647864,1253,0,1157,47.15802075019952,6.0,0.10213563743071405,0.0,0.9233838786911412,0,-1,0,1,1
+10,2019,11579,8676,10581,3351,1.3346011987090824,0.9138094826841696,0.28940322998531826,853,0,814,46.36107854630715,4.0,0.07366784696433198,0.0,0.9542790152403282,1,0,0,1,1
+10,2020,11769,8777,10156,2228,1.3408909650222172,0.8629450250658509,0.18931090152094485,1520,0,1436,55.47171052631579,4.0,0.12915285920638966,0.0,0.9447368421052632,1,1,1,1,0
+10,2021,11459,8056,10131,2438,1.422418073485601,0.8841085609564534,0.21275853041277598,1008,0,845,93.49404761904762,3.0,0.08796579108124618,0.0,0.8382936507936508,1,2,2,1,0
+10,2022,19005,14009,17120,4792,1.3566278820758084,0.900815574848724,0.25214417258616156,1450,0,1251,96.29034482758621,34.0,0.07629571165482768,0.0,0.8627586206896551,1,3,3,1,1
+10,2023,14057,9500,12836,3631,1.4796842105263157,0.9131393611723696,0.2583054705840507,1006,0,955,153.110337972167,4.0,0.07156576794479619,0.0,0.9493041749502982,1,4,4,1,1
+10,2024,18590,12991,17440,4627,1.4309906858594412,0.9381387842926304,0.24889725658956427,1081,0,1021,50.580018501387606,6.0,0.05814954276492738,0.0,0.9444958371877891,1,5,5,1,0
+10,2025,14021,9104,12004,4003,1.5400922671353252,0.8561443548962271,0.2855003209471507,1947,0,1674,12.00256805341551,3.0,0.13886313387062263,0.0,0.8597842835130971,1,6,6,1,1
+6E,2015,1629,1338,1393,0,1.2174887892376682,0.8551258440761204,0.0,252,0,82,224.734126984127,104.0,0.15469613259668508,0.0,0.3253968253968254,0,-4,0,0,0
+6E,2016,2958,1995,2241,0,1.4827067669172933,0.757606490872211,0.0,910,0,241,354.8791208791209,234.0,0.3076402974983097,0.0,0.26483516483516484,0,-3,0,0,0
+6E,2017,2425,1450,1563,0,1.6724137931034482,0.6445360824742268,0.0,733,0,332,197.55388813096863,102.0,0.3022680412371134,0.0,0.4529331514324693,0,-2,0,0,0
+6E,2018,6314,4333,5558,0,1.45718901453958,0.8802660753880266,0.0,801,0,132,427.7041198501873,296.0,0.12686094393411468,0.0,0.1647940074906367,0,-1,0,0,0
+6E,2019,5041,3534,4221,0,1.4264289756649688,0.837333862328903,0.0,667,0,182,327.7496251874063,153.0,0.13231501686173378,0.0,0.272863568215892,1,0,0,0,0
+6E,2020,8128,4961,7719,0,1.6383793590002016,0.9496801181102362,0.0,314,1,136,372.0668789808917,303.0,0.03863188976377953,0.0031847133757961785,0.43312101910828027,1,1,1,0,0
+6E,2021,5467,3690,5034,0,1.4815718157181572,0.9207975123468081,0.0,180,0,114,212.76666666666668,175.0,0.032924821657216025,0.0,0.6333333333333333,1,2,2,0,0
+6E,2022,4237,2783,3693,0,1.5224577793747753,0.871607269294312,0.0,188,2,126,184.5372340425532,39.0,0.04437101722917158,0.010638297872340425,0.6702127659574468,1,3,3,0,0
+6E,2023,3566,2622,3325,0,1.3600305110602593,0.9324172742568705,0.0,142,3,116,145.11267605633802,63.0,0.039820527201346045,0.02112676056338028,0.8169014084507042,1,4,4,0,0
+6E,2024,3442,2392,3158,0,1.4389632107023411,0.9174898314933179,0.0,115,2,83,53.721739130434784,15.0,0.033410807669959325,0.017391304347826087,0.7217391304347827,1,5,5,0,0
+6E,2025,3263,2529,2803,0,1.2902332937920127,0.8590254367146798,0.0,384,2,220,30.205729166666668,14.0,0.11768311369904995,0.005208333333333333,0.5729166666666666,1,6,6,0,0
+7B,2015,3375,2218,2856,0,1.5216411181244365,0.8462222222222222,0.0,630,0,361,75.83174603174604,4.0,0.18666666666666668,0.0,0.573015873015873,0,-4,0,0,0
+7B,2016,9033,4575,7406,0,1.9744262295081967,0.8198826524964021,0.0,1712,0,796,36.19042056074766,3.0,0.18952728882984612,0.0,0.4649532710280374,0,-3,0,0,0
+7B,2017,12282,7905,9898,0,1.5537001897533207,0.8058948054062857,0.0,2659,0,2010,51.311019180142914,4.0,0.2164956847418987,0.0,0.7559232794283566,0,-2,0,0,0
+7B,2018,11239,8638,9407,0,1.3011113683723083,0.836996174036836,0.0,1903,0,1264,28.94534944823962,4.0,0.16932111397811192,0.0,0.6642143983184445,0,-1,0,0,0
+7B,2019,7723,5720,6322,0,1.3501748251748251,0.8185938106953257,0.0,1522,0,1129,21.965834428383705,4.0,0.19707367603262982,0.0,0.7417871222076216,1,0,0,0,0
+7B,2020,12384,7581,10474,0,1.6335575781559162,0.8457687338501292,0.0,2021,0,1409,23.40722414646215,3.0,0.16319444444444445,0.0,0.6971796140524493,1,1,1,0,0
+7B,2021,15302,7910,13201,0,1.9345132743362832,0.862697686576918,0.0,2113,1,1744,19.798864174159963,3.0,0.1380865246373023,0.000473260766682442,0.8253667770941789,1,2,2,0,0
+7B,2022,18173,9019,16178,0,2.0149684000443506,0.890221757552413,0.0,1981,0,1655,23.357900050479557,3.0,0.10900786881637595,0.0,0.8354366481574962,1,3,3,0,0
+7B,2023,21168,9693,18907,0,2.183844011142061,0.8931878306878307,0.0,2233,0,1767,27.300492610837438,5.0,0.105489417989418,0.0,0.7913121361397224,1,4,4,0,0
+7B,2024,19789,8466,17909,0,2.3374675171273327,0.9049977260093992,0.0,1736,0,1357,23.920506912442395,3.0,0.08772550406791652,0.0,0.7816820276497696,1,5,5,0,0
+7B,2025,16319,8596,14768,0,1.8984411354118194,0.9049574116061033,0.0,1686,0,944,15.408659549228945,3.0,0.10331515411483547,0.0,0.5599051008303677,1,6,6,0,0
+7C,2015,4120,3246,3301,0,1.2692544670363524,0.8012135922330097,0.0,999,0,552,31.41941941941942,8.0,0.2424757281553398,0.0,0.5525525525525525,0,-4,0,0,0
+7C,2016,10614,7361,8920,0,1.4419236516777612,0.84039947239495,0.0,1688,0,853,50.899881516587676,6.0,0.1590352364801206,0.0,0.5053317535545023,0,-3,0,0,0
+7C,2017,11656,9301,9825,0,1.2531985807977637,0.8429135209334249,0.0,1703,0,916,69.74985320023488,12.0,0.14610501029512699,0.0,0.537874339401057,0,-2,0,0,0
+7C,2018,14241,12793,13125,0,1.1131868990854374,0.9216347166631557,0.0,1292,0,761,100.05185758513932,13.0,0.09072396601362263,0.0,0.5890092879256966,0,-1,0,0,0
+7C,2019,10717,9144,9652,0,1.1720253718285214,0.9006251749556778,0.0,1192,0,737,95.97147651006712,8.0,0.11122515629373891,0.0,0.6182885906040269,1,0,0,0,0
+7C,2020,13072,10284,11078,0,1.2711007390120577,0.8474602203182374,0.0,1687,0,1104,101.85714285714286,45.0,0.12905446756425948,0.0,0.6544161232957914,1,1,1,0,0
+7C,2021,10816,8645,9397,0,1.2511278195488722,0.868805473372781,0.0,1115,0,618,42.195515695067265,4.0,0.10308801775147929,0.0,0.5542600896860986,1,2,2,0,0
+7C,2022,18283,14750,17130,0,1.2395254237288136,0.9369359514302904,0.0,980,0,848,39.43061224489796,7.0,0.05360170650330909,0.0,0.8653061224489796,1,3,3,0,0
+7C,2023,21513,17508,20589,0,1.2287525702535984,0.9570492260493655,0.0,770,0,665,44.907792207792205,6.0,0.03579231162552875,0.0,0.8636363636363636,1,4,4,0,0
+7C,2024,21710,17199,20649,0,1.2622826908541194,0.9511285122063565,0.0,915,0,818,44.09289617486339,4.0,0.0421464762782128,0.0,0.8939890710382513,1,5,5,0,0
+7C,2025,26194,20244,25067,0,1.293914246196404,0.9569748797434527,0.0,938,0,609,25.15778251599147,4.0,0.03580972741849278,0.0,0.6492537313432836,1,6,6,0,0
+8A,2015,2043,1554,1789,602,1.3146718146718146,0.8756730298580518,0.29466470876162504,345,0,188,72.99420289855072,13.0,0.16886930983847284,0.0,0.5449275362318841,0,-4,0,1,1
+8A,2016,4907,3131,4153,1572,1.567230916640051,0.8463419604646424,0.32035867128591805,959,0,504,130.50260688216892,14.0,0.19543509272467904,0.0,0.5255474452554745,0,-3,0,1,1
+8A,2017,10627,8293,9851,3184,1.2814421801519353,0.9269784511150843,0.2996141902700668,769,0,547,68.90117035110534,6.0,0.07236284934600545,0.0,0.7113133940182055,0,-2,0,1,1
+8A,2018,22684,20882,22042,11825,1.0862944162436547,0.9716981132075472,0.5212925409980603,672,0,560,37.595238095238095,3.0,0.029624404866866513,0.0,0.8333333333333334,0,-1,0,1,1
+8A,2019,12198,9282,10919,2490,1.3141564318034906,0.8951467453680931,0.20413182488932613,1295,1,1116,51.42007722007722,11.0,0.10616494507296279,0.0007722007722007722,0.8617760617760618,1,0,0,1,0
+8A,2020,10891,8082,9946,4319,1.3475624845335312,0.913231108254522,0.3965659719034065,634,0,488,114.79022082018928,13.5,0.0582132035625746,0.0,0.7697160883280757,1,1,1,1,1
+8A,2021,12408,9801,11380,4993,1.265993265993266,0.9171502256608639,0.40240167633784657,746,0,378,60.297587131367294,5.0,0.06012250161186331,0.0,0.5067024128686327,1,2,2,1,1
+8A,2022,24806,20340,23850,10218,1.219567354965585,0.961460936870112,0.41191647182133356,852,0,457,80.41197183098592,3.0,0.03434652906554866,0.0,0.5363849765258216,1,3,3,1,1
+8A,2023,25339,18474,24224,9957,1.371603334415936,0.9559966849520501,0.392951576621019,929,2,484,78.28310010764262,6.0,0.03666285173053396,0.002152852529601722,0.5209903121636168,1,4,4,1,1
+8A,2024,30330,21978,29000,11895,1.38001638001638,0.9561490273656446,0.39218595450049454,997,1,430,31.502507522567704,3.0,0.03287174414770854,0.0010030090270812437,0.4312938816449348,1,5,5,1,1
+8A,2025,34870,23540,33282,13410,1.4813084112149533,0.9544594207054775,0.3845712646974477,1461,0,771,20.023271731690624,4.0,0.04189848006882707,0.0,0.5277207392197125,1,6,6,1,1

analysis/output_borderlands/money_border_type_timing_results.csv

@@ -0,0 +1,9 @@
+term,coef,pvalue
+post_2019:has_tx_mex,4.089987550447354,0.9061834734059393
+post_2019:has_tx_nm,-18.744184897167933,0.6013252122112276
+post_2019:has_tx_ok,-14.244633686588397,0.8134346799274497
+post_2019:has_tx_la,-43.65984294535339,0.6414995635196573
+post_trend:has_tx_mex,-0.014785326896972872,0.9991292137842269
+post_trend:has_tx_nm,22.906694978425094,0.0189471590749384
+post_trend:has_tx_ok,-16.71881811942892,0.0793618699449027
+post_trend:has_tx_la,0.6415198480610695,0.9550577950525045

analysis/output_borderlands/money_cutoff_timing_results.csv

@@ -0,0 +1,4 @@
+cutoff_km,coef,pvalue,nobs
+25,-101.92826819730227,0.7010300513734967,143
+75,-75.65907483700701,0.5115965713174391,143
+100,-4.47953603353538,0.9473512061250438,143

analysis/output_borderlands/money_plot_timing_ci_by_year.csv

@@ -0,0 +1,23 @@
+year,group,mean_days,sd_days,n,se_days,ci95,lower,upper
+2015,Border,117.20212269729133,57.875448736776114,7,21.874863481968127,42.87473242465753,74.3273902726338,160.07685512194885
+2015,Non-border,101.14831242614422,67.71784869667789,6,27.645695964309287,54.1855640900462,46.96274833609802,155.3338765161904
+2016,Border,172.39944900765133,73.29917908450243,7,27.70448559468293,54.30079176557854,118.09865724207279,226.70024077322986
+2016,Non-border,99.90916055446912,125.8787298386157,6,51.389776262377325,100.72396147425955,-0.8148009197904287,200.63312202872868
+2017,Border,266.75345080482543,236.7198277825005,7,89.47168495864781,175.3645025189497,91.38894828587573,442.11795332377517
+2017,Non-border,149.89672627710078,165.56599519638718,6,67.59203449787323,132.48038761583152,17.416338661269265,282.3771138929323
+2018,Border,273.84618753650795,255.82092651521103,7,96.69122167505398,189.5147944831058,84.33139305340217,463.36098201961374
+2018,Non-border,190.84242200255605,186.73194505133884,6,76.23299734220109,149.41667479071413,41.42574721184192,340.25909679327015
+2019,Border,188.4743456914288,124.3502131144661,7,46.999962768394276,92.11992702605278,96.35441866537602,280.59427271748154
+2019,Non-border,184.41035683715495,174.30159234234424,6,71.15832709889119,139.47032111382674,44.94003572332821,323.8806779509817
+2020,Border,157.25799521179792,113.96290757765432,7,43.07393030518738,84.42490339816727,72.83309181363065,241.6828986099652
+2020,Non-border,165.93815655339355,127.38490981861302,6,52.00467166434213,101.92915646211058,64.00900009128297,267.8673130155041
+2021,Border,107.49021407363963,49.24999239333886,7,18.61474742065677,36.48490494448727,71.00530912915237,143.97511901812692
+2021,Non-border,128.00597977549901,85.0074414340079,6,34.70414264214069,68.02011957859575,59.98586019690326,196.02609935409475
+2022,Border,95.43259559678566,39.432569777324034,7,14.904110455285858,29.212056492360283,66.22053910442537,124.64465208914595
+2022,Non-border,92.83710247016064,58.72510176116014,6,23.974422401310022,46.989867906567646,45.847234563593,139.8269703767283
+2023,Border,114.19417299477608,63.901717425064696,7,24.15257895094913,47.339054743860295,66.85511825091578,161.53322773863638
+2023,Non-border,99.02463692712426,51.44208684823281,6,21.00114401368462,41.162242266821856,57.86239466030241,140.1868791939461
+2024,Border,67.44452598747927,31.411846998184483,7,11.872562196915274,23.270221905953935,44.174304081525335,90.7147478934332
+2024,Non-border,97.2960377636921,73.72027454807207,6,30.096176056777058,58.98850507128303,38.30753269240907,156.28454283497513
+2025,Border,36.43437025771912,19.169025630489177,7,7.245210670528211,14.200612914235293,22.233757343483823,50.63498317195441
+2025,Non-border,40.965676968973106,23.26279698255439,6,9.496997099535742,18.614114315090053,22.351562653883054,59.57979128406316

analysis/output_borderlands/rq1_results.csv

@@ -0,0 +1,3 @@
+outcome,coef_border_district,pvalue,nobs
+inspection_intensity,-0.17547931722488824,0.0998748856277178,143
+violations_per_inspection,0.04336637346518175,0.09489246616514625,143

analysis/output_borderlands/rq2_results.csv

@@ -0,0 +1,5 @@
+outcome,coef_post_x_border,p_post_x_border,coef_posttrend_x_border,p_posttrend_x_border,nobs
+inspection_intensity,-0.1191271812775071,0.07532691544217612,-0.005230225412909913,0.8180733370880423,143
+violations_per_inspection,0.00402375801124064,0.8880957839347553,-0.0011828266296696032,0.8349527143654992,143
+avg_days_to_enforcement,-74.58932764437921,0.015605247235602714,-1.1586887784394795,0.9252307894328422,143
+resolution_rate,0.04040482153740251,0.45201946017144046,-0.018620975271288254,0.3403549348720055,143

analysis/well_analyzer.py

@@ -0,0 +1,910 @@
+from __future__ import annotations
+
+import json
+import logging
+import os
+import warnings
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+from urllib.parse import quote_plus
+
+import pandas as pd
+from dotenv import load_dotenv
+from sqlalchemy import Engine, create_engine, text
+from sqlalchemy.exc import SQLAlchemyError
+
+# Configure logging early so that downstream modules inherit the settings.
+logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+logger = logging.getLogger(__name__)
+
+# Pandas throws a lot of noisy warnings when casting timestamps out of Postgres.
+warnings.filterwarnings("ignore", category=UserWarning)
+
+
+class WellAnalyzerError(Exception):
+    """Base exception class for all analyzer failures."""
+
+
+class ConfigError(WellAnalyzerError):
+    """Raised when we cannot build a working configuration."""
+
+
+class DataLoadError(WellAnalyzerError):
+    """Raised when data cannot be loaded from the warehouse."""
+
+
+class AnalysisError(WellAnalyzerError):
+    """Raised when a downstream analytic task fails."""
+
+
+@dataclass
+class Config:
+    """Runtime configuration for the analyzer."""
+
+    engine: Engine
+    chunk_size: int = 10_000
+    cache_dir: Path = Path("./cache")
+    well_source: str = ""
+    inspections_source: str = ""
+    violations_source: str = ""
+
+
+def _load_engine_from_env() -> Engine:
+    """Build a SQLAlchemy engine using PG* environment variables."""
+
+    load_dotenv(override=False)
+
+    host = os.getenv("PGHOST", "localhost")
+    port = os.getenv("PGPORT", "5432")
+    user = os.getenv("PGUSER", "postgres")
+    password = quote_plus(os.getenv("PGPASSWORD", ""))
+    database = os.getenv("PGDATABASE", "texas_data")
+
+    url = f"postgresql+psycopg2://{user}:{password}@{host}:{port}/{database}"
+    logger.info("Connecting to Postgres", extra={"host": host, "database": database})
+    try:
+        return create_engine(url)
+    except SQLAlchemyError as exc:
+        raise ConfigError(f"Failed to create engine for {url}: {exc}") from exc
+
+
+class WellAnalyzer:
+    """
+    Analyze wells, inspections, violations, and environmental-justice indicators held in the
+    rebuilt PostGIS warehouse. The class auto-detects the rebuilt tables that now exist
+    in the texas-rebuild-postgis project so it works against both fresh rebuilds and future
+    refreshes without hand-editing SQL strings.
+    """
+
+    ID_COLUMN = "api_norm"
+    WELL_SOURCE_CANDIDATES = [
+        "well_shape_tract",
+    ]
+    BORDER_DISTANCE_CRS = "EPSG:5070"  # meters-based CRS suitable for CONUS distances
+
+    WELL_COLUMN_MAP: Dict[str, List[str]] = {
+        "census_tract_geoid": ["census_tract_geoid", "geoid", "tract_geoid"],
+        "tract_name": ["tract_name", "name"],
+        "ruca_category": ["ruca_category"],
+        "ruca_code_2020": ["ruca_code_2020"],
+        "ruca_primary_description": ["ruca_primary_description"],
+        "ruca_secondary_description": ["ruca_secondary_description"],
+        "ej_composite_score": ["ej_composite_score"],
+        "pct_minority": ["pct_minority"],
+        "pct_hispanic": ["pct_hispanic"],
+        "poverty_rate": ["poverty_rate"],
+        "unemployment_rate": ["unemployment_rate"],
+        "less_than_hs_pct": ["less_than_hs_pct"],
+        "linguistic_isolation_rate": ["linguistic_isolation_rate"],
+        "renter_cost_burden_rate": ["renter_cost_burden_rate"],
+        "disability_rate": ["disability_rate"],
+        "pct_under5": ["pct_under5"],
+        "pct_65plus": ["pct_65plus"],
+        "median_household_income": ["median_household_income"],
+        "latitude": ["latitude", "lat"],
+        "longitude": ["longitude", "lon", "lng"],
+        "basin_label": ["basin_label", "basin_name"],
+        "play_label": ["play_label", "play_name"],
+        "texmex_name": ["texmex_name"],
+        "distance_to_texmex_km": ["distance_to_texmex_km"],
+        "within_25km_texmex": ["within_25km_texmex"],
+        "within_50km_texmex": ["within_50km_texmex"],
+    }
+
+    def __init__(
+        self,
+        engine: Optional[Engine] = None,
+        *,
+        chunk_size: int = 10_000,
+        cache_dir: Optional[Path] = None,
+        well_source: Optional[str] = None,
+    ) -> None:
+        if engine is None:
+            engine = _load_engine_from_env()
+
+        self.config = Config(
+            engine=engine,
+            chunk_size=chunk_size,
+            cache_dir=(cache_dir or Path("./cache")),
+        )
+
+        self.config.well_source = well_source or self._detect_table(self.WELL_SOURCE_CANDIDATES)
+        if not self.config.well_source:
+            raise ConfigError(
+                "Could not find a well table/view. "
+                "Expected one of well_enriched_all_plus, well_enriched_all, well_with_demographics_table, well_shape_tract."
+            )
+
+        self.config.inspections_source = self._detect_table(["inspections"])
+        self.config.violations_source = self._detect_table(["violations"])
+        if not self.config.inspections_source or not self.config.violations_source:
+            raise ConfigError("Both inspections and violations tables must exist in the database.")
+
+        self.data: Dict[str, pd.DataFrame] = {}
+        self._initialize_data()
+
+    # --------------------------------------------------------------------------------------
+    # Helper methods for metadata detection and SQL building
+    # --------------------------------------------------------------------------------------
+
+    def _detect_table(self, candidates: List[str]) -> Optional[str]:
+        for candidate in candidates:
+            found = self._table_exists(candidate)
+            if found:
+                return found
+        return None
+
+    def _table_exists(self, table: str) -> Optional[str]:
+        names_to_try = []
+        if "." in table:
+            names_to_try.append(table)
+        else:
+            names_to_try.append(f"public.{table}")
+            names_to_try.append(table)
+
+        query = text("SELECT to_regclass(:name) IS NOT NULL AS exists")
+        with self.config.engine.begin() as conn:
+            for name in names_to_try:
+                exists = conn.execute(query, {"name": name}).scalar()
+                if exists:
+                    return name
+        return None
+
+    def _split_table_name(self, qualified: str) -> Dict[str, Optional[str]]:
+        if "." in qualified:
+            schema, table = qualified.split(".", 1)
+            return {"schema": schema, "table": table}
+        return {"schema": None, "table": qualified}
+
+    def _get_columns(self, table: str) -> Dict[str, str]:
+        pieces = self._split_table_name(table)
+        sql = [
+            "SELECT column_name",
+            "FROM information_schema.columns",
+            "WHERE table_name = :table",
+        ]
+        params = {"table": pieces["table"]}
+        if pieces["schema"]:
+            sql.append("AND table_schema = :schema")
+            params["schema"] = pieces["schema"]
+        sql.append("ORDER BY ordinal_position")
+        with self.config.engine.begin() as conn:
+            rows = conn.execute(text(" ".join(sql)), params).fetchall()
+        return {row[0].lower(): row[0] for row in rows}
+
+    def _pick_column(self, columns: Dict[str, str], names: List[str]) -> Optional[str]:
+        for name in names:
+            if name.lower() in columns:
+                return columns[name.lower()]
+        return None
+
+    def _execute_query(self, query: str, params: Optional[Dict[str, Any]] = None) -> pd.DataFrame:
+        try:
+            df_chunks: List[pd.DataFrame] = []
+            for chunk in pd.read_sql(
+                text(query),
+                self.config.engine,
+                params=params,
+                chunksize=self.config.chunk_size,
+            ):
+                df_chunks.append(chunk)
+            return pd.concat(df_chunks, ignore_index=True) if df_chunks else pd.DataFrame()
+        except SQLAlchemyError as exc:
+            logger.error("Query failed: %s", query, exc_info=True)
+            raise DataLoadError(f"Failed executing query: {exc}") from exc
+
+    # --------------------------------------------------------------------------------------
+    # Data loading
+    # --------------------------------------------------------------------------------------
+
+    def _initialize_data(self) -> None:
+        self.data["well_data"] = self._load_wells()
+        self._recompute_border_metrics()
+        self.data["inspections"] = self._load_inspections()
+        self.data["violations"] = self._load_violations()
+        if not self.data["well_data"].empty and (
+            not self.data["inspections"].empty or not self.data["violations"].empty
+        ):
+            self._create_performance_metrics()
+
+    def _load_wells(self) -> pd.DataFrame:
+        table = self.config.well_source
+        columns = self._get_columns(table)
+        alias = "w"
+        api_norm_col = self._pick_column(columns, ["api_norm"])
+        if not api_norm_col:
+            raise DataLoadError(f"{table} does not expose api_norm")
+        select_parts = [f'{alias}."{api_norm_col}" AS {self.ID_COLUMN}']
+
+        for target, candidates in self.WELL_COLUMN_MAP.items():
+            column = self._pick_column(columns, candidates)
+            if column:
+                select_parts.append(f'{alias}."{column}" AS {target}')
+
+        query = f'SELECT {", ".join(select_parts)} FROM {table} AS {alias}'
+        df = self._execute_query(query)
+
+        df[self.ID_COLUMN] = df[self.ID_COLUMN].astype(str).str.strip()
+        df = df[df[self.ID_COLUMN].notna()]
+        df = df.drop_duplicates(subset=[self.ID_COLUMN]).reset_index(drop=True)
+        logger.info("Loaded %s wells from %s", len(df), table)
+        return df
+
+    def _resolve_texmex_shapefile(self) -> Optional[Path]:
+        """Resolve the Texas-Mexico boundary shapefile path relative to this module/repo."""
+        base_dir = Path(__file__).resolve().parent
+        candidates = [
+            base_dir / "../data/texmex_shape/tl_2023_us_internationalboundary.shp",
+            base_dir / "data/texmex_shape/tl_2023_us_internationalboundary.shp",
+            Path.cwd() / "data/texmex_shape/tl_2023_us_internationalboundary.shp",
+            Path.cwd() / "../data/texmex_shape/tl_2023_us_internationalboundary.shp",
+        ]
+        for candidate in candidates:
+            path = candidate.resolve()
+            if path.exists():
+                return path
+        return None
+
+    def _recompute_border_metrics(self) -> None:
+        """
+        Recompute border proximity fields from geometry instead of trusting source-table flags.
+        This replaces/creates:
+        - distance_to_texmex_km
+        - within_25km_texmex
+        - within_50km_texmex
+        - texmex_name (simple computed tag for border-proximate wells)
+        """
+        wells = self.data.get("well_data")
+        if wells is None or wells.empty:
+            return
+        if "latitude" not in wells.columns or "longitude" not in wells.columns:
+            logger.warning("Skipping border metric recompute: latitude/longitude columns are missing.")
+            return
+
+        try:
+            import geopandas as gpd
+        except ImportError:
+            logger.warning("Skipping border metric recompute: geopandas is not installed.")
+            return
+
+        shp_path = self._resolve_texmex_shapefile()
+        if shp_path is None:
+            logger.warning("Skipping border metric recompute: Texas-Mexico shapefile was not found.")
+            return
+
+        df = wells.copy()
+        df["latitude"] = pd.to_numeric(df["latitude"], errors="coerce")
+        df["longitude"] = pd.to_numeric(df["longitude"], errors="coerce")
+
+        valid_mask = df["latitude"].notna() & df["longitude"].notna()
+        if not valid_mask.any():
+            logger.warning("Skipping border metric recompute: no valid latitude/longitude rows found.")
+            return
+
+        texmex = gpd.read_file(shp_path)
+        if texmex.empty:
+            logger.warning("Skipping border metric recompute: Texas-Mexico shapefile is empty.")
+            return
+
+        # Prefer rows explicitly tied to Texas boundary segments if metadata exists.
+        if "NAME" in texmex.columns:
+            texas_border = texmex[texmex["NAME"].astype(str).str.contains("Texas", case=False, na=False)].copy()
+            if texas_border.empty:
+                texas_border = texmex
+        else:
+            texas_border = texmex
+
+        # Work in a projected CRS so geometric distances are in meters.
+        if texas_border.crs is None:
+            texas_border = texas_border.set_crs("EPSG:4326", allow_override=True)
+        texas_border = texas_border.to_crs(self.BORDER_DISTANCE_CRS)
+        border_union = texas_border.geometry.union_all()
+
+        points = gpd.GeoDataFrame(
+            df.loc[valid_mask, [self.ID_COLUMN, "longitude", "latitude"]].copy(),
+            geometry=gpd.points_from_xy(
+                df.loc[valid_mask, "longitude"],
+                df.loc[valid_mask, "latitude"],
+            ),
+            crs="EPSG:4326",
+        ).to_crs(self.BORDER_DISTANCE_CRS)
+
+        distances_m = points.geometry.distance(border_union)
+        distances_km = distances_m / 1000.0
+        points["distance_to_texmex_km"] = distances_km
+        points["within_25km_texmex"] = (distances_km <= 25.0).astype(int)
+        points["within_50km_texmex"] = (distances_km <= 50.0).astype(int)
+        points["texmex_name"] = points["within_50km_texmex"].map(
+            {1: "Texas-Mexico Border (computed)", 0: pd.NA}
+        )
+
+        df["distance_to_texmex_km"] = pd.NA
+        df["within_25km_texmex"] = 0
+        df["within_50km_texmex"] = 0
+        df["texmex_name"] = pd.NA
+
+        df = df.merge(
+            points[
+                [
+                    self.ID_COLUMN,
+                    "distance_to_texmex_km",
+                    "within_25km_texmex",
+                    "within_50km_texmex",
+                    "texmex_name",
+                ]
+            ],
+            on=self.ID_COLUMN,
+            how="left",
+            suffixes=("", "_computed"),
+        )
+
+        # Prefer computed values where available.
+        for col in ["distance_to_texmex_km", "within_25km_texmex", "within_50km_texmex", "texmex_name"]:
+            computed_col = f"{col}_computed"
+            if computed_col in df.columns:
+                df[col] = df[computed_col].combine_first(df[col])
+                df = df.drop(columns=[computed_col])
+
+        df["within_25km_texmex"] = pd.to_numeric(df["within_25km_texmex"], errors="coerce").fillna(0).astype(int)
+        df["within_50km_texmex"] = pd.to_numeric(df["within_50km_texmex"], errors="coerce").fillna(0).astype(int)
+        df["distance_to_texmex_km"] = pd.to_numeric(df["distance_to_texmex_km"], errors="coerce")
+
+        self.data["well_data"] = df
+        logger.info(
+            "Recomputed border metrics for %s wells (%s within 25km, %s within 50km)",
+            len(df),
+            int(df["within_25km_texmex"].sum()),
+            int(df["within_50km_texmex"].sum()),
+        )
+
+    def _load_inspections(self) -> pd.DataFrame:
+        table = self.config.inspections_source
+        columns = self._get_columns(table)
+        alias = "i"
+        select_parts = []
+
+        base_candidates = [
+            "id",
+            "district",
+            "county",
+            "inspection_date",
+            "inspection_type",
+            "operator_name",
+            "field_name",
+            "compliance",
+            "file_date",
+            "created_at",
+        ]
+
+        for column in base_candidates:
+            picked = self._pick_column(columns, [column])
+            if picked:
+                select_parts.append(f'{alias}."{picked}" AS {column}')
+
+        api_norm_col = self._pick_column(columns, ["api_norm"])
+        if not api_norm_col:
+            raise DataLoadError(f"{table} does not expose api_norm")
+        select_parts.append(f'{alias}."{api_norm_col}" AS {self.ID_COLUMN}')
+        where_clause = f'WHERE {alias}."{api_norm_col}" IS NOT NULL'
+
+        query = f'SELECT {", ".join(select_parts)} FROM {table} AS {alias} {where_clause}'
+        df = self._execute_query(query)
+
+        for col in ["inspection_date", "file_date", "created_at"]:
+            if col in df.columns:
+                df[col] = pd.to_datetime(df[col], errors="coerce")
+
+        df = df[df[self.ID_COLUMN].notna()].copy()
+        df = df[df[self.ID_COLUMN].notna()].copy()
+        if "inspection_date" in df.columns:
+            df = df.sort_values([self.ID_COLUMN, "inspection_date"])
+            df["days_since_last_inspection"] = (
+                df.groupby(self.ID_COLUMN)["inspection_date"].diff().dt.days
+            )
+
+        logger.info("Loaded %s inspections from %s", len(df), table)
+        return df.reset_index(drop=True)
+
+    def _load_violations(self) -> pd.DataFrame:
+        table = self.config.violations_source
+        columns = self._get_columns(table)
+        alias = "v"
+        select_parts = []
+        row_id_candidates = ["id", "violation_id", "violationid", "objectid", "row_id"]
+
+        base_candidates = [
+            "operator_name",
+            "p5_operator_no",
+            "district",
+            "oil_lease_gas_well_id",
+            "lease_fac_name",
+            "well_no",
+            "drilling_permit_no",
+            "field_name",
+            "violated_rule",
+            "violated_rule_desc",
+            "major_viol_ind",
+            "compliant_on_reinsp",
+            "last_enf_action",
+            "last_enf_action_date",
+            "violation_disc_date",
+            "file_date",
+            "created_at",
+        ]
+
+        for row_id in row_id_candidates:
+            picked = self._pick_column(columns, [row_id])
+            if picked:
+                select_parts.append(f'{alias}."{picked}" AS {row_id}')
+                break
+
+        for column in base_candidates:
+            picked = self._pick_column(columns, [column])
+            if picked:
+                select_parts.append(f'{alias}."{picked}" AS {column}')
+
+        api_norm_col = self._pick_column(columns, ["api_norm"])
+        if not api_norm_col:
+            raise DataLoadError(f"{table} does not expose api_norm")
+        select_parts.append(f'{alias}."{api_norm_col}" AS {self.ID_COLUMN}')
+        where_clause = f'WHERE {alias}."{api_norm_col}" IS NOT NULL'
+
+        query = f'SELECT {", ".join(select_parts)} FROM {table} AS {alias} {where_clause}'
+        df = self._execute_query(query)
+
+        for col in ["violation_disc_date", "last_enf_action_date", "file_date", "created_at"]:
+            if col in df.columns:
+                df[col] = pd.to_datetime(df[col], errors="coerce")
+
+        df = df[df[self.ID_COLUMN].notna()].reset_index(drop=True)
+        df = df[df[self.ID_COLUMN].notna()].reset_index(drop=True)
+
+        if not df.empty:
+            row_id_col = next(
+                (c for c in ["id", "violation_id", "violationid", "objectid", "row_id"] if c in df.columns),
+                None,
+            )
+            if row_id_col is None:
+                df["violation_row_id"] = range(1, len(df) + 1)
+            else:
+                df = df.rename(columns={row_id_col: "violation_row_id"})
+            df["total_violations"] = df.groupby(self.ID_COLUMN)["violation_row_id"].transform("count")
+            df["violation_number"] = df.groupby(self.ID_COLUMN).cumcount() + 1
+
+        logger.info("Loaded %s violations from %s", len(df), table)
+        return df
+
+    def _create_performance_metrics(self) -> None:
+        insp = self.data.get("inspections", pd.DataFrame()).copy()
+        viol = self.data.get("violations", pd.DataFrame()).copy()
+        if insp.empty and viol.empty:
+            return
+
+        if not insp.empty:
+            count_col = "id" if "id" in insp.columns else "inspection_date"
+            insp_metrics = insp.groupby(self.ID_COLUMN).agg(
+                total_inspections=(count_col, "count")
+            )
+            if "compliance" in insp.columns:
+                insp_metrics["compliance_rate"] = (
+                    insp.groupby(self.ID_COLUMN)["compliance"]
+                    .apply(lambda x: (x == "Yes").mean() * 100)
+                )
+            if "days_since_last_inspection" in insp.columns:
+                insp_metrics["avg_days_between_inspections"] = (
+                    insp.groupby(self.ID_COLUMN)["days_since_last_inspection"].mean()
+                )
+        else:
+            insp_metrics = pd.DataFrame()
+
+        if not viol.empty:
+            count_col = (
+                "violation_row_id"
+                if "violation_row_id" in viol.columns
+                else ("id" if "id" in viol.columns else self.ID_COLUMN)
+            )
+            viol_metrics = viol.groupby(self.ID_COLUMN).agg(
+                total_violations=(count_col, "count"),
+            )
+            if "major_viol_ind" in viol.columns:
+                viol_metrics["major_violations"] = (
+                    viol.groupby(self.ID_COLUMN)["major_viol_ind"]
+                    .apply(lambda x: (x == "Y").sum())
+                )
+            if "compliant_on_reinsp" in viol.columns:
+                viol_metrics["reinspection_compliance_rate"] = (
+                    viol.groupby(self.ID_COLUMN)["compliant_on_reinsp"]
+                    .apply(lambda x: (x == "Y").mean() * 100)
+                )
+        else:
+            viol_metrics = pd.DataFrame()
+
+        metrics = insp_metrics.join(viol_metrics, how="outer").fillna(0)
+        metrics = metrics.reset_index()
+        self.data["performance_metrics"] = metrics
+
+    # --------------------------------------------------------------------------------------
+    # Analytic helpers
+    # --------------------------------------------------------------------------------------
+
+    def analyze_inspection_patterns(self) -> Dict[str, Any]:
+        insp_df = self.data.get("inspections", pd.DataFrame())
+        if insp_df.empty:
+            return {}
+
+        result: Dict[str, Any] = {
+            "overall_statistics": {
+                "total_inspections": int(len(insp_df)),
+                "unique_wells_inspected": int(insp_df[self.ID_COLUMN].nunique()),
+            }
+        }
+
+        if "compliance" in insp_df.columns:
+            result["overall_statistics"]["overall_compliance_rate"] = (
+                (insp_df["compliance"] == "Yes").mean() * 100
+            )
+        if "days_since_last_inspection" in insp_df.columns:
+            result["overall_statistics"]["avg_days_between_inspections"] = insp_df[
+                "days_since_last_inspection"
+            ].mean()
+            result["overall_statistics"]["median_days_between_inspections"] = insp_df[
+                "days_since_last_inspection"
+            ].median()
+
+        if "inspection_date" in insp_df.columns:
+            insp_df["inspection_date"] = pd.to_datetime(insp_df["inspection_date"], errors="coerce")
+            insp_df["year"] = insp_df["inspection_date"].dt.year
+            result["temporal_patterns"] = {
+                "inspections_by_year": insp_df.groupby("year").size().dropna().to_dict()
+            }
+            if "compliance" in insp_df.columns:
+                result["temporal_patterns"]["compliance_by_year"] = (
+                    insp_df.groupby("year")["compliance"]
+                    .apply(lambda x: (x == "Yes").mean() * 100)
+                    .dropna()
+                    .to_dict()
+                )
+
+        if "district" in insp_df.columns:
+            district_counts = insp_df.groupby("district").size().to_dict()
+            district_compliance = {}
+            if "compliance" in insp_df.columns:
+                district_compliance = (
+                    insp_df.groupby("district")["compliance"]
+                    .apply(lambda x: (x == "Yes").mean() * 100)
+                    .to_dict()
+                )
+            result["district_performance"] = {
+                "inspections_by_district": district_counts,
+                "compliance_by_district": district_compliance,
+            }
+
+        return result
+
+    def analyze_violations(self) -> Dict[str, Any]:
+        viol_df = self.data.get("violations", pd.DataFrame())
+        if viol_df.empty:
+            return {}
+
+        result: Dict[str, Any] = {
+            "overall_statistics": {
+                "total_violations": int(len(viol_df)),
+                "unique_wells_with_violations": int(viol_df[self.ID_COLUMN].nunique()),
+            },
+            "violation_types": {},
+            "enforcement_effectiveness": {},
+        }
+
+        if "major_viol_ind" in viol_df.columns:
+            result["overall_statistics"]["major_violations"] = int(
+                (viol_df["major_viol_ind"] == "Y").sum()
+            )
+        if "compliant_on_reinsp" in viol_df.columns:
+            result["overall_statistics"]["compliance_on_reinspection_rate"] = (
+                (viol_df["compliant_on_reinsp"] == "Y").mean() * 100
+            )
+
+        if "violated_rule" in viol_df.columns:
+            result["violation_types"]["common_violations"] = (
+                viol_df["violated_rule"].value_counts().head(10).to_dict()
+            )
+            if "major_viol_ind" in viol_df.columns:
+                result["violation_types"]["major_violation_types"] = (
+                    viol_df[viol_df["major_viol_ind"] == "Y"]["violated_rule"]
+                    .value_counts()
+                    .head(5)
+                    .to_dict()
+                )
+
+        if {"violated_rule", "compliant_on_reinsp"} <= set(viol_df.columns):
+            result["enforcement_effectiveness"]["resolution_rate_by_type"] = (
+                viol_df.groupby("violated_rule")["compliant_on_reinsp"]
+                .apply(lambda x: (x == "Y").mean() * 100)
+                .to_dict()
+            )
+
+        return result
+
+    def analyze_regulatory_chain(self) -> Dict[str, Any]:
+        insp_df = self.data.get("inspections", pd.DataFrame()).copy()
+        viol_df = self.data.get("violations", pd.DataFrame()).copy()
+        if insp_df.empty or viol_df.empty:
+            return {}
+
+        if "inspection_date" not in insp_df.columns or "violation_disc_date" not in viol_df.columns:
+            return {}
+
+        insp_df["inspection_date"] = pd.to_datetime(insp_df["inspection_date"], errors="coerce")
+        viol_df["violation_disc_date"] = pd.to_datetime(viol_df["violation_disc_date"], errors="coerce")
+        viol_df["last_enf_action_date"] = pd.to_datetime(
+            viol_df.get("last_enf_action_date"), errors="coerce"
+        )
+
+        insp_df = insp_df.dropna(subset=[self.ID_COLUMN, "inspection_date"])
+        viol_df = viol_df.dropna(subset=[self.ID_COLUMN, "violation_disc_date"])
+        if insp_df.empty or viol_df.empty:
+            return {}
+
+        insp_sorted = (
+            insp_df.sort_values(["inspection_date", self.ID_COLUMN])
+            .reset_index(drop=True)
+        )
+        viol_sorted = (
+            viol_df.sort_values(["violation_disc_date", self.ID_COLUMN])
+            .reset_index(drop=True)
+        )
+        matched_df = pd.merge_asof(
+            viol_sorted,
+            insp_sorted,
+            left_on="violation_disc_date",
+            right_on="inspection_date",
+            by=self.ID_COLUMN,
+            direction="backward",
+            suffixes=("_viol", "_insp"),
+        ).dropna(subset=["inspection_date"])
+
+        if matched_df.empty:
+            return {}
+        total_inspections = len(insp_df)
+        inspection_id_col = "id_insp" if "id_insp" in matched_df.columns else "inspection_date"
+        inspections_with_violations = matched_df[inspection_id_col].nunique()
+        violation_rate = (inspections_with_violations / total_inspections) * 100 if total_inspections else 0
+
+        time_spans = matched_df.dropna(
+            subset=["inspection_date", "violation_disc_date", "last_enf_action_date"]
+        ).copy()
+        time_spans["insp_to_viol"] = (
+            time_spans["violation_disc_date"] - time_spans["inspection_date"]
+        ).dt.days
+        time_spans["viol_to_enforce"] = (
+            time_spans["last_enf_action_date"] - time_spans["violation_disc_date"]
+        ).dt.days
+        time_spans["total_span"] = time_spans["insp_to_viol"] + time_spans["viol_to_enforce"]
+
+        enforcement_patterns = {
+            "action_types": viol_df["last_enf_action"].value_counts().to_dict()
+            if "last_enf_action" in viol_df.columns
+            else {},
+            "enforcement_rate": (
+                matched_df["last_enf_action"].notna().sum() / len(matched_df) * 100
+            ),
+        }
+        if not time_spans.empty:
+            enforcement_patterns["avg_days_to_enforcement"] = time_spans["viol_to_enforce"].mean()
+
+        return {
+            "summary": {
+                "total_inspections": total_inspections,
+                "violation_rate": violation_rate,
+                "unique_wells_inspected": int(insp_df[self.ID_COLUMN].nunique()),
+            },
+            "conversion_funnel": {
+                "inspections_with_violations": inspections_with_violations,
+                "violations_with_enforcement": int(matched_df["last_enf_action"].notna().sum()),
+            },
+            "enforcement_patterns": enforcement_patterns,
+            "time_spans": time_spans.describe().to_dict() if not time_spans.empty else {},
+        }
+
+    def analyze_environmental_justice(self) -> Dict[str, Any]:
+        well_df = self.data.get("well_data", pd.DataFrame()).copy()
+        if well_df.empty or "census_tract_geoid" not in well_df.columns:
+            return {}
+
+        metrics = self.data.get("performance_metrics")
+        if metrics is not None and not metrics.empty:
+            well_df = well_df.merge(metrics, on=self.ID_COLUMN, how="left")
+
+        tract_df = well_df.dropna(subset=["census_tract_geoid"]).copy()
+        if tract_df.empty:
+            return {}
+
+        agg_map: Dict[str, str] = {self.ID_COLUMN: "count"}
+        mean_cols = [
+            "ej_composite_score",
+            "pct_minority",
+            "pct_hispanic",
+            "poverty_rate",
+            "median_household_income",
+            "avg_days_between_inspections",
+            "reinspection_compliance_rate",
+            "compliance_rate",
+        ]
+        for col in mean_cols:
+            if col in tract_df.columns:
+                agg_map[col] = "mean"
+
+        if "total_inspections" in tract_df.columns:
+            agg_map["total_inspections"] = "mean"
+        if "total_violations" in tract_df.columns:
+            agg_map["total_violations"] = "mean"
+        if "major_violations" in tract_df.columns:
+            agg_map["major_violations"] = "sum"
+
+        tract_summary = (
+            tract_df.groupby("census_tract_geoid")
+            .agg(agg_map)
+            .rename(columns={self.ID_COLUMN: "wells_in_tract"})
+            .reset_index()
+        )
+        rename_map = {
+            "total_inspections": "avg_inspections",
+            "total_violations": "avg_violations",
+            "compliance_rate": "avg_compliance_rate",
+        }
+        tract_summary = tract_summary.rename(columns=rename_map)
+
+        demographic_vars = [
+            col
+            for col in [
+                "ej_composite_score",
+                "pct_minority",
+                "pct_hispanic",
+                "poverty_rate",
+                "median_household_income",
+            ]
+            if col in tract_summary.columns
+        ]
+        performance_vars = [
+            col
+            for col in [
+                "avg_inspections",
+                "avg_violations",
+                "major_violations",
+                "avg_compliance_rate",
+                "avg_days_between_inspections",
+                "reinspection_compliance_rate",
+                "wells_in_tract",
+            ]
+            if col in tract_summary.columns
+        ]
+
+        correlations: Dict[str, Dict[str, float]] = {dv: {} for dv in demographic_vars}
+        for d in demographic_vars:
+            for p in performance_vars:
+                correlations[d][p] = tract_summary[d].corr(tract_summary[p], method="spearman")
+
+        def split_high_low(column: str) -> Dict[str, Dict[str, float]]:
+            result: Dict[str, Dict[str, float]] = {}
+            if column not in tract_summary.columns:
+                return result
+            median_value = tract_summary[column].median()
+            high = tract_summary[tract_summary[column] > median_value]
+            low = tract_summary[tract_summary[column] <= median_value]
+            for metric in performance_vars:
+                result[metric] = {
+                    "high": high[metric].mean() if not high.empty else float("nan"),
+                    "low": low[metric].mean() if not low.empty else float("nan"),
+                }
+            return result
+
+        return {
+            "summary": {
+                "total_tracts": int(len(tract_summary)),
+                "total_wells": int(tract_summary["wells_in_tract"].sum()),
+                "avg_wells_per_tract": tract_summary["wells_in_tract"].mean(),
+                "avg_ej_score": tract_summary.get("ej_composite_score", pd.Series(dtype=float)).mean(),
+            },
+            "correlations": correlations,
+            "high_vulnerability_vs_low": split_high_low("ej_composite_score"),
+            "high_poverty_vs_low": split_high_low("poverty_rate"),
+        }
+
+    # --------------------------------------------------------------------------------------
+    # Public helpers
+    # --------------------------------------------------------------------------------------
+
+    def get_analysis(self) -> Dict[str, Any]:
+        return {
+            "inspection_analysis": self.analyze_inspection_patterns(),
+            "violation_analysis": self.analyze_violations(),
+            "regulatory_chain": self.analyze_regulatory_chain(),
+            "environmental_justice": self.analyze_environmental_justice(),
+        }
+
+    @staticmethod
+    def _format_stat(stat_value: Any) -> str:
+        if stat_value is None:
+            return "n/a"
+        if isinstance(stat_value, (int, float)):
+            if pd.isna(stat_value):
+                return "n/a"
+            return f"{stat_value:,.2f}"
+        return str(stat_value)
+
+    def print_analysis(self) -> None:
+        analysis = self.get_analysis()
+
+        def print_block(title: str, stats: Dict[str, Any]) -> None:
+            if not stats:
+                return
+            print(f"\n{title}")
+            for stat_key, stat_value in stats.items():
+                print(f"  {stat_key.replace('_', ' ').title()}: {self._format_stat(stat_value)}")
+
+        print_block("INSPECTION ANALYSIS", analysis.get("inspection_analysis", {}).get("overall_statistics", {}))
+        print_block("VIOLATION ANALYSIS", analysis.get("violation_analysis", {}).get("overall_statistics", {}))
+        print_block("REGULATORY CHAIN", analysis.get("regulatory_chain", {}).get("summary", {}))
+        print_block("ENVIRONMENTAL JUSTICE", analysis.get("environmental_justice", {}).get("summary", {}))
+
+        violation_types = analysis.get("violation_analysis", {}).get("violation_types", {})
+        if violation_types:
+            print("\nTop Violations:")
+            for rule, count in violation_types.get("common_violations", {}).items():
+                print(f"  {rule}: {self._format_stat(count)}")
+
+    def get_summary_stats(self) -> Dict[str, Any]:
+        stats: Dict[str, Any] = {}
+        wells = self.data.get("well_data", pd.DataFrame())
+        if not wells.empty:
+            stats["total_wells"] = len(wells)
+            stats["unique_census_tracts"] = wells["census_tract_geoid"].nunique(
+                dropna=True
+            ) if "census_tract_geoid" in wells.columns else None
+        insp = self.data.get("inspections", pd.DataFrame())
+        if not insp.empty:
+            stats["total_inspections"] = len(insp)
+        viol = self.data.get("violations", pd.DataFrame())
+        if not viol.empty:
+            stats["total_violations"] = len(viol)
+        return stats
+
+    def export_analysis(self, path: Path | str) -> None:
+        output_path = Path(path)
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+        analysis = self.get_analysis()
+        output_path.write_text(json.dumps(analysis, indent=2, default=str), encoding="utf-8")
+        logger.info("Analysis exported to %s", output_path)
+
+
+if __name__ == "__main__":
+    try:
+        analyzer = WellAnalyzer()
+        print("Summary Stats:")
+        for key, value in analyzer.get_summary_stats().items():
+            print(f"  {key.replace('_', ' ').title()}: {value}")
+        analyzer.print_analysis()
+        analyzer.export_analysis(Path("analysis_output.json"))
+    except WellAnalyzerError as exc:
+        logger.error("Well Analyzer failed: %s", exc, exc_info=True)

data/competition_panel.csv

@@ -0,0 +1,144 @@
+district,year,competitor_stringency,competitor_source
+01,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+01,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+01,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+01,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+01,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+01,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+01,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+01,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+01,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+01,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+01,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+02,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+02,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+02,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+02,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+02,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+02,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+02,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+02,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+02,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+02,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+02,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+03,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+03,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+03,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+03,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+03,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+03,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+03,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+03,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+03,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+03,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+03,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+04,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+04,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+04,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+04,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+04,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+04,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+04,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+04,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+04,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+04,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+04,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+05,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+05,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+05,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+05,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+05,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+05,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+05,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+05,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+05,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+05,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+05,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+06,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+06,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+06,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+06,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+06,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+06,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+06,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+06,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+06,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+06,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+06,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+08,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+08,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+08,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+08,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+08,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+08,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+08,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+08,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+08,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+08,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+08,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+09,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+09,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+09,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+09,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+09,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+09,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+09,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+09,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+09,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+09,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+09,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+10,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+10,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+10,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+10,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+10,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+10,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+10,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+10,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+10,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+10,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+10,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+6E,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+6E,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+6E,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+6E,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+6E,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+6E,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+6E,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+6E,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+6E,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+6E,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+6E,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+7B,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+7B,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+7B,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+7B,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+7B,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+7B,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+7B,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+7B,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+7B,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+7B,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+7B,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+7C,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+7C,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+7C,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+7C,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+7C,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+7C,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+7C,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+7C,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+7C,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+7C,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+7C,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity
+8A,2015,1.281689645277501,proxy_nonborder_tx_mean_inspection_intensity
+8A,2016,1.590296527815019,proxy_nonborder_tx_mean_inspection_intensity
+8A,2017,1.4597726177201151,proxy_nonborder_tx_mean_inspection_intensity
+8A,2018,1.3542454521940872,proxy_nonborder_tx_mean_inspection_intensity
+8A,2019,1.4094876498497262,proxy_nonborder_tx_mean_inspection_intensity
+8A,2020,1.558723665859165,proxy_nonborder_tx_mean_inspection_intensity
+8A,2021,1.647546630954771,proxy_nonborder_tx_mean_inspection_intensity
+8A,2022,1.613633167547017,proxy_nonborder_tx_mean_inspection_intensity
+8A,2023,1.5832904608952798,proxy_nonborder_tx_mean_inspection_intensity
+8A,2024,1.6171205362166974,proxy_nonborder_tx_mean_inspection_intensity
+8A,2025,1.5502893845330454,proxy_nonborder_tx_mean_inspection_intensity

data/competition_panel_template.csv

@@ -0,0 +1,177 @@
+district,year,competitor_jurisdiction,weight,competitor_stringency,stringency_metric,notes
+01,2015,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2016,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2017,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2018,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2019,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2020,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2021,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2022,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2023,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2024,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+01,2025,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2015,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2016,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2017,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2018,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2019,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2020,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2021,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2022,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2023,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2024,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+02,2025,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2015,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2016,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2017,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2018,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2019,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2020,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2021,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2022,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2023,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2024,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+03,2025,LA,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2015,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2016,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2017,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2018,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2019,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2020,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2021,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2022,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2023,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2024,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+04,2025,MEX,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2015,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2016,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2017,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2018,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2019,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2020,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2021,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2022,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2023,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2024,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+05,2025,OK,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2015,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2015,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2016,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2016,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2017,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2017,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2018,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2018,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2019,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2019,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2020,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2020,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2021,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2021,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2022,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2022,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2023,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2023,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2024,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2024,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2025,LA,0.9469708191379056,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+06,2025,OK,0.0530291808620945,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2015,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2015,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2016,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2016,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2017,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2017,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2018,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2018,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2019,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2019,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2020,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2020,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2021,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2021,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2022,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2022,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2023,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2023,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2024,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2024,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2025,MEX,0.00029723570791637767,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+08,2025,NM,0.9997027642920836,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2015,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2016,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2017,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2018,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2019,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2020,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2021,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2022,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2023,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2024,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+09,2025,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2015,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2015,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2016,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2016,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2017,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2017,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2018,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2018,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2019,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2019,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2020,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2020,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2021,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2021,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2022,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2022,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2023,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2023,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2024,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2024,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2025,NM,0.003009027081243731,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+10,2025,OK,0.9969909729187563,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2015,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2016,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2017,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2018,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2019,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2020,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2021,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2022,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2023,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2024,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+6E,2025,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2015,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2016,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2017,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2018,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2019,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2020,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2021,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2022,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2023,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2024,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7B,2025,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2015,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2016,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2017,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2018,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2019,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2020,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2021,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2022,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2023,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2024,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+7C,2025,,,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2015,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2016,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2017,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2018,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2019,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2020,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2021,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2022,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2023,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2024,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.
+8A,2025,NM,1.0,,inspection_intensity,Fill competitor_stringency from external jurisdiction data using matching metric definitions.

data/district_competitor_links.csv

@@ -0,0 +1,12 @@
+district,competitor_jurisdiction,border_type,n_border_wells,n_wells_district,raw_weight,weight
+01,MEX,TX-MX,7377,31898,0.2312684180826384,1.0
+03,LA,TX-LA,1947,16700,0.11658682634730538,1.0
+04,MEX,TX-MX,13389,20973,0.6383922185667287,1.0
+05,OK,TX-OK,22,9938,0.0022137250955926746,1.0
+06,LA,TX-LA,12786,24422,0.5235443452624683,0.9469708191379056
+06,OK,TX-OK,716,24422,0.029317828187699613,0.0530291808620945
+08,MEX,TX-MX,6,105931,5.664064343770945e-05,0.00029723570791637767
+08,NM,TX-NM,20180,105931,0.19050136409549612,0.9997027642920836
+10,NM,TX-NM,27,29621,0.0009115154788832247,0.003009027081243731
+10,OK,TX-OK,8946,29621,0.3020154620033085,0.9969909729187563
+8A,NM,TX-NM,17567,42005,0.418212117605047,1.0

data/oil_gas_basin_shape/Tx_ShaleBasins_11_USEIA.cpg

@@ -0,0 +1 @@
+UTF-8

data/oil_gas_basin_shape/Tx_ShaleBasins_11_USEIA.prj

@@ -0,0 +1 @@
+GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],METADATA["World",-180.0,-90.0,180.0,90.0,0.0,0.0174532925199433,0.0,1262]]

data/shale_play_shape/Tx_ShalePlays_11_USEIA.prj

@@ -0,0 +1 @@
+GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]]

data/texas_county_shape/tl_2025_48_cousub/tl_2025_48_cousub.cpg

@@ -0,0 +1 @@
+UTF-8

data/texas_county_shape/tl_2025_48_cousub/tl_2025_48_cousub.prj

@@ -0,0 +1 @@
+GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137,298.257222101]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]]

data/texas_county_shape/tl_2025_48_cousub/tl_2025_48_cousub.shp.iso.xml

@@ -0,0 +1,875 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<gmi:MI_Metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+                 xmlns:gmd="http://www.isotc211.org/2005/gmd"
+                 xmlns:gco="http://www.isotc211.org/2005/gco"
+                 xmlns:gml="http://www.opengis.net/gml/3.2"
+                 xmlns:gmi="http://www.isotc211.org/2005/gmi"
+                 xmlns:xlink="http://www.w3.org/1999/xlink"
+                 xmlns:srv="http://www.isotc211.org/2005/srv"
+                 xsi:schemaLocation="http://www.isotc211.org/2005/gmi https://data.noaa.gov/resources/iso19139/schema.xsd">
+   <gmd:fileIdentifier>
+      <gco:CharacterString>tl_2025_48_cousub.shp.iso.xml</gco:CharacterString>
+   </gmd:fileIdentifier>
+   <gmd:language>
+      <gco:CharacterString>eng; USA</gco:CharacterString>
+   </gmd:language>
+   <gmd:characterSet>
+      <gmd:MD_CharacterSetCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_CharacterSetCode"
+                               codeListValue="utf8">utf8</gmd:MD_CharacterSetCode>
+   </gmd:characterSet>
+   <gmd:parentIdentifier>
+      <gco:CharacterString>series_tl_2025_cousub.shp.iso.xml</gco:CharacterString>
+   </gmd:parentIdentifier>
+   <gmd:hierarchyLevel>
+      <gmd:MD_ScopeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ScopeCode"
+                        codeListValue="dataset">dataset</gmd:MD_ScopeCode>
+   </gmd:hierarchyLevel>
+   <gmd:contact>
+      <gmd:CI_ResponsibleParty>
+         <gmd:organisationName>
+            <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</gco:CharacterString>
+         </gmd:organisationName>
+         <gmd:contactInfo>
+            <gmd:CI_Contact>
+               <gmd:phone>
+                  <gmd:CI_Telephone>
+                     <gmd:voice>
+                        <gco:CharacterString>301-763-1128</gco:CharacterString>
+                     </gmd:voice>
+                     <gmd:facsimile>
+                        <gco:CharacterString>301-763-4710</gco:CharacterString>
+                     </gmd:facsimile>
+                  </gmd:CI_Telephone>
+               </gmd:phone>
+               <gmd:address>
+                  <gmd:CI_Address>
+                     <gmd:deliveryPoint>
+                        <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                     </gmd:deliveryPoint>
+                     <gmd:city>
+                        <gco:CharacterString>Washington</gco:CharacterString>
+                     </gmd:city>
+                     <gmd:administrativeArea>
+                        <gco:CharacterString>DC</gco:CharacterString>
+                     </gmd:administrativeArea>
+                     <gmd:postalCode>
+                        <gco:CharacterString>20233-7400</gco:CharacterString>
+                     </gmd:postalCode>
+                     <gmd:country>
+                        <gco:CharacterString>United States</gco:CharacterString>
+                     </gmd:country>
+                     <gmd:electronicMailAddress>
+                        <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                     </gmd:electronicMailAddress>
+                  </gmd:CI_Address>
+               </gmd:address>
+            </gmd:CI_Contact>
+         </gmd:contactInfo>
+         <gmd:role>
+            <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                             codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+         </gmd:role>
+      </gmd:CI_ResponsibleParty>
+   </gmd:contact>
+   <gmd:dateStamp>
+      <gco:Date>2025-09-18</gco:Date>
+   </gmd:dateStamp>
+   <gmd:metadataStandardName>
+      <gco:CharacterString>ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data</gco:CharacterString>
+   </gmd:metadataStandardName>
+   <gmd:metadataStandardVersion>
+      <gco:CharacterString>ISO 19115-2:2009(E)</gco:CharacterString>
+   </gmd:metadataStandardVersion>
+   <gmd:dataSetURI>
+      <gco:CharacterString>https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/tl_2025_48_cousub.shp.iso.xml</gco:CharacterString>
+   </gmd:dataSetURI>
+   <gmd:spatialRepresentationInfo>
+      <gmd:MD_VectorSpatialRepresentation>
+         <gmd:geometricObjects>
+            <gmd:MD_GeometricObjects>
+               <gmd:geometricObjectType>
+                  <gmd:MD_GeometricObjectTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_GeometricObjectTypeCode"
+                                                  codeListValue="complex">complex</gmd:MD_GeometricObjectTypeCode>
+               </gmd:geometricObjectType>
+               <gmd:geometricObjectCount>
+                  <gco:Integer>862</gco:Integer>
+               </gmd:geometricObjectCount>
+            </gmd:MD_GeometricObjects>
+         </gmd:geometricObjects>
+      </gmd:MD_VectorSpatialRepresentation>
+   </gmd:spatialRepresentationInfo>
+   <gmd:referenceSystemInfo>
+      <gmd:MD_ReferenceSystem uuid="65f8b220-95ed-11e0-aa80-0800200c9a66">
+         <gmd:referenceSystemIdentifier>
+            <gmd:RS_Identifier>
+               <gmd:authority>
+                  <gmd:CI_Citation>
+                     <gmd:title>
+                        <gco:CharacterString>North American Datum of 1983</gco:CharacterString>
+                     </gmd:title>
+                     <gmd:alternateTitle>
+                        <gco:CharacterString>NAD83</gco:CharacterString>
+                     </gmd:alternateTitle>
+                     <gmd:date>
+                        <gmd:CI_Date>
+                           <gmd:date>
+                              <gco:Date>2007-01-19</gco:Date>
+                           </gmd:date>
+                           <gmd:dateType>
+                              <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                                   codeListValue="revision">revision</gmd:CI_DateTypeCode>
+                           </gmd:dateType>
+                        </gmd:CI_Date>
+                     </gmd:date>
+                     <gmd:citedResponsibleParty>
+                        <gmd:CI_ResponsibleParty>
+                           <gmd:organisationName gco:nilReason="withheld"/>
+                           <gmd:contactInfo>
+                              <gmd:CI_Contact>
+                                 <gmd:onlineResource>
+                                    <gmd:CI_OnlineResource>
+                                       <gmd:linkage>
+                                          <gmd:URL>https://spatialreference.org/ref/epsg/4269/gml/</gmd:URL>
+                                       </gmd:linkage>
+                                       <gmd:name>
+                                          <gco:CharacterString>NAD83</gco:CharacterString>
+                                       </gmd:name>
+                                       <gmd:description>
+                                          <gco:CharacterString>Link to Geographic Markup Language (GML) description of reference system.</gco:CharacterString>
+                                       </gmd:description>
+                                       <gmd:function>
+                                          <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode"
+                                                                     codeListValue="information">information</gmd:CI_OnLineFunctionCode>
+                                       </gmd:function>
+                                    </gmd:CI_OnlineResource>
+                                 </gmd:onlineResource>
+                              </gmd:CI_Contact>
+                           </gmd:contactInfo>
+                           <gmd:role>
+                              <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                               codeListValue="resourceProvider">resourceProvider</gmd:CI_RoleCode>
+                           </gmd:role>
+                        </gmd:CI_ResponsibleParty>
+                     </gmd:citedResponsibleParty>
+                  </gmd:CI_Citation>
+               </gmd:authority>
+               <gmd:code>
+                  <gco:CharacterString>urn:ogc:def:crs:EPSG::4269</gco:CharacterString>
+               </gmd:code>
+            </gmd:RS_Identifier>
+         </gmd:referenceSystemIdentifier>
+      </gmd:MD_ReferenceSystem>
+   </gmd:referenceSystemInfo>
+   <gmd:identificationInfo>
+      <gmd:MD_DataIdentification>
+         <gmd:citation>
+            <gmd:CI_Citation>
+               <gmd:title>
+                  <gco:CharacterString>TIGER/Line Shapefile, Current, State, Texas, County Subdivision</gco:CharacterString>
+               </gmd:title>
+               <gmd:alternateTitle>
+                  <gco:CharacterString>TIGER/Line Shapefile, 2025, State, Texas, TX, County Subdivision</gco:CharacterString>
+               </gmd:alternateTitle>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2025</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="publication">publication</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2025-10</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="creation">creation</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2025-10</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="lastUpdate">lastUpdate</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:identifier>
+                  <gmd:MD_Identifier>
+                     <gmd:code>
+                        <gco:CharacterString>tl_2025_48_cousub</gco:CharacterString>
+                     </gmd:code>
+                  </gmd:MD_Identifier>
+               </gmd:identifier>
+               <gmd:citedResponsibleParty>
+                  <gmd:CI_ResponsibleParty>
+                     <gmd:organisationName>
+                        <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</gco:CharacterString>
+                     </gmd:organisationName>
+                     <gmd:contactInfo>
+                        <gmd:CI_Contact>
+                           <gmd:phone>
+                              <gmd:CI_Telephone>
+                                 <gmd:voice>
+                                    <gco:CharacterString>301-763-1128</gco:CharacterString>
+                                 </gmd:voice>
+                                 <gmd:facsimile>
+                                    <gco:CharacterString>301-763-4710</gco:CharacterString>
+                                 </gmd:facsimile>
+                              </gmd:CI_Telephone>
+                           </gmd:phone>
+                           <gmd:address>
+                              <gmd:CI_Address>
+                                 <gmd:deliveryPoint>
+                                    <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                                 </gmd:deliveryPoint>
+                                 <gmd:city>
+                                    <gco:CharacterString>Washington</gco:CharacterString>
+                                 </gmd:city>
+                                 <gmd:administrativeArea>
+                                    <gco:CharacterString>DC</gco:CharacterString>
+                                 </gmd:administrativeArea>
+                                 <gmd:postalCode>
+                                    <gco:CharacterString>20233-7400</gco:CharacterString>
+                                 </gmd:postalCode>
+                                 <gmd:country>
+                                    <gco:CharacterString>United States</gco:CharacterString>
+                                 </gmd:country>
+                                 <gmd:electronicMailAddress>
+                                    <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                                 </gmd:electronicMailAddress>
+                              </gmd:CI_Address>
+                           </gmd:address>
+                        </gmd:CI_Contact>
+                     </gmd:contactInfo>
+                     <gmd:role>
+                        <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                         codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+                     </gmd:role>
+                  </gmd:CI_ResponsibleParty>
+               </gmd:citedResponsibleParty>
+               <gmd:presentationForm>
+                  <gmd:CI_PresentationFormCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_PresentationFormCode"
+                                               codeListValue="mapDigital">mapDigital</gmd:CI_PresentationFormCode>
+               </gmd:presentationForm>
+            </gmd:CI_Citation>
+         </gmd:citation>
+         <gmd:abstract>
+            <gco:CharacterString>This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
+			
+County subdivisions are the primary divisions of counties and equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.
+The boundaries of most legal MCDs are as of January 1, 2025, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
+</gco:CharacterString>
+         </gmd:abstract>
+         <gmd:purpose>
+            <gco:CharacterString>The Census Bureau releases extracts of the MAF/TIGER database in the form of TIGER/Line Shapefiles for others to use in geographic information systems (GIS) or for other geographic applications.</gco:CharacterString>
+         </gmd:purpose>
+         <gmd:status>
+            <gmd:MD_ProgressCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ProgressCode"
+                                 codeListValue="completed">completed</gmd:MD_ProgressCode>
+         </gmd:status>
+         <gmd:pointOfContact>
+            <gmd:CI_ResponsibleParty>
+               <gmd:organisationName>
+                  <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</gco:CharacterString>
+               </gmd:organisationName>
+               <gmd:contactInfo>
+                  <gmd:CI_Contact>
+                     <gmd:phone>
+                        <gmd:CI_Telephone>
+                           <gmd:voice>
+                              <gco:CharacterString>301-763-1128</gco:CharacterString>
+                           </gmd:voice>
+                           <gmd:facsimile>
+                              <gco:CharacterString>301-763-4710</gco:CharacterString>
+                           </gmd:facsimile>
+                        </gmd:CI_Telephone>
+                     </gmd:phone>
+                     <gmd:address>
+                        <gmd:CI_Address>
+                           <gmd:deliveryPoint>
+                              <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                           </gmd:deliveryPoint>
+                           <gmd:city>
+                              <gco:CharacterString>Washington</gco:CharacterString>
+                           </gmd:city>
+                           <gmd:administrativeArea>
+                              <gco:CharacterString>DC</gco:CharacterString>
+                           </gmd:administrativeArea>
+                           <gmd:postalCode>
+                              <gco:CharacterString>20233-7400</gco:CharacterString>
+                           </gmd:postalCode>
+                           <gmd:country>
+                              <gco:CharacterString>United States</gco:CharacterString>
+                           </gmd:country>
+                           <gmd:electronicMailAddress>
+                              <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                           </gmd:electronicMailAddress>
+                        </gmd:CI_Address>
+                     </gmd:address>
+                  </gmd:CI_Contact>
+               </gmd:contactInfo>
+               <gmd:role>
+                  <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                   codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+               </gmd:role>
+            </gmd:CI_ResponsibleParty>
+         </gmd:pointOfContact>
+         <gmd:resourceMaintenance>
+            <gmd:MD_MaintenanceInformation>
+               <gmd:maintenanceAndUpdateFrequency>
+                  <gmd:MD_MaintenanceFrequencyCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_MaintenanceFrequencyCode"
+                                                   codeListValue="notPlanned">notPlanned</gmd:MD_MaintenanceFrequencyCode>
+               </gmd:maintenanceAndUpdateFrequency>
+            </gmd:MD_MaintenanceInformation>
+         </gmd:resourceMaintenance>
+         <gmd:graphicOverview>
+            <gmd:MD_BrowseGraphic>
+               <gmd:fileName>
+                  <gco:CharacterString>https://tigerweb.geo.census.gov/arcgis/services/TIGERweb/tigerWMS_ACS2025/MapServer/WmsServer?REQUEST=GetMap&amp;SERVICE=WMS&amp;VERSION=1.3.0&amp;LAYERS=54,55&amp;STYLES=default,default&amp;FORMAT=image/png+xml&amp;BGCOLOR=0xFFFFFF&amp;TRANSPARENT=TRUE&amp;CRS=EPSG:4326&amp;BBOX=+37.9649,-85.7590,+38.2928,-85.0133&amp;WIDTH=256&amp;HEIGHT=256</gco:CharacterString>
+               </gmd:fileName>
+               <gmd:fileDescription>
+                  <gco:CharacterString>URL for the TIGERWeb Mapping Service</gco:CharacterString>
+               </gmd:fileDescription>
+               <gmd:fileType>
+                  <gco:CharacterString>URL</gco:CharacterString>
+               </gmd:fileType>
+            </gmd:MD_BrowseGraphic>
+         </gmd:graphicOverview>
+         <gmd:descriptiveKeywords>
+            <gmd:MD_Keywords>
+               <gmd:keyword>
+                  <gco:CharacterString>State or equivalent entity</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Polygon</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>County Subdivision</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Subdivision</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Minor Civil Division</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>MCD</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Census County Division</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>CCD</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Town</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Township</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Unorganized Territory</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>UT</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Barrio</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:type>
+                  <gmd:MD_KeywordTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_KeywordTypeCode"
+                                          codeListValue="theme"/>
+               </gmd:type>
+               <gmd:thesaurusName>
+                  <gmd:CI_Citation>
+                     <gmd:title>
+                        <gco:CharacterString>None</gco:CharacterString>
+                     </gmd:title>
+                     <gmd:date gco:nilReason="unknown"/>
+                  </gmd:CI_Citation>
+               </gmd:thesaurusName>
+            </gmd:MD_Keywords>
+         </gmd:descriptiveKeywords>
+         <gmd:descriptiveKeywords>
+            <gmd:MD_Keywords>
+               <gmd:keyword>
+                  <gco:CharacterString>State or Equivalent Entity</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Texas</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>TX</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>48</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:type>
+                  <gmd:MD_KeywordTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_KeywordTypeCode"
+                                          codeListValue="place"/>
+               </gmd:type>
+               <gmd:thesaurusName>
+                  <gmd:CI_Citation>
+                     <gmd:title>
+                        <gco:CharacterString>INCITS 38-2009[R2019]: Information Technology - Codes for the Identification of the States and Equivalent Areas within the United States, Puerto Rico, and the Insular Areas.</gco:CharacterString>
+                     </gmd:title>
+                     <gmd:date gco:nilReason="unknown"/>
+                  </gmd:CI_Citation>
+               </gmd:thesaurusName>
+            </gmd:MD_Keywords>
+         </gmd:descriptiveKeywords>
+         <gmd:resourceConstraints>
+            <gmd:MD_LegalConstraints>
+               <gmd:accessConstraints>
+                  <gmd:MD_RestrictionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_RestrictionCode"
+                                          codeListValue="otherRestrictions">otherRestrictions</gmd:MD_RestrictionCode>
+               </gmd:accessConstraints>
+               <gmd:useConstraints>
+                  <gmd:MD_RestrictionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_RestrictionCode"
+                                          codeListValue="otherRestrictions">otherRestrictions</gmd:MD_RestrictionCode>
+               </gmd:useConstraints>
+               <gmd:otherConstraints>
+                  <gco:CharacterString>Access constraints: None</gco:CharacterString>
+               </gmd:otherConstraints>
+               <gmd:otherConstraints>
+                  <gco:CharacterString>Use Constraints: The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source.
+The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.</gco:CharacterString>
+               </gmd:otherConstraints>
+            </gmd:MD_LegalConstraints>
+         </gmd:resourceConstraints>
+         <gmd:aggregationInfo>
+            <gmd:MD_AggregateInformation>
+               <gmd:aggregateDataSetName>
+                  <gmd:CI_Citation>
+                     <gmd:title>
+                        <gco:CharacterString>Series Information for County Subdivision State-based TIGER/Line Shapefiles, Current</gco:CharacterString>
+                     </gmd:title>
+                     <gmd:date>
+                        <gmd:CI_Date>
+                           <gmd:date>
+                              <gco:Date>2025</gco:Date>
+                           </gmd:date>
+                           <gmd:dateType>
+                              <gmd:CI_DateTypeCode codeList="https://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                                   codeListValue="publication">publication</gmd:CI_DateTypeCode>
+                           </gmd:dateType>
+                        </gmd:CI_Date>
+                     </gmd:date>
+                     <gmd:identifier>
+                        <gmd:MD_Identifier>
+                           <gmd:code>
+                              <gco:CharacterString>series_tl_2025_cousub</gco:CharacterString>
+                           </gmd:code>
+                        </gmd:MD_Identifier>
+                     </gmd:identifier>
+                     <gmd:citedResponsibleParty>
+                        <gmd:CI_ResponsibleParty>
+                           <gmd:organisationName>
+                              <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</gco:CharacterString>
+                           </gmd:organisationName>
+                           <gmd:contactInfo>
+                              <gmd:CI_Contact>
+                                 <gmd:phone>
+                                    <gmd:CI_Telephone>
+                                       <gmd:voice>
+                                          <gco:CharacterString>301-763-1128</gco:CharacterString>
+                                       </gmd:voice>
+                                       <gmd:facsimile>
+                                          <gco:CharacterString>301-763-4710</gco:CharacterString>
+                                       </gmd:facsimile>
+                                    </gmd:CI_Telephone>
+                                 </gmd:phone>
+                                 <gmd:address>
+                                    <gmd:CI_Address>
+                                       <gmd:deliveryPoint>
+                                          <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                                       </gmd:deliveryPoint>
+                                       <gmd:city>
+                                          <gco:CharacterString>Washington</gco:CharacterString>
+                                       </gmd:city>
+                                       <gmd:administrativeArea>
+                                          <gco:CharacterString>DC</gco:CharacterString>
+                                       </gmd:administrativeArea>
+                                       <gmd:postalCode>
+                                          <gco:CharacterString>20233-7400</gco:CharacterString>
+                                       </gmd:postalCode>
+                                       <gmd:country>
+                                          <gco:CharacterString>United States</gco:CharacterString>
+                                       </gmd:country>
+                                       <gmd:electronicMailAddress>
+                                          <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                                       </gmd:electronicMailAddress>
+                                    </gmd:CI_Address>
+                                 </gmd:address>
+                              </gmd:CI_Contact>
+                           </gmd:contactInfo>
+                           <gmd:role>
+                              <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                               codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+                           </gmd:role>
+                        </gmd:CI_ResponsibleParty>
+                     </gmd:citedResponsibleParty>
+                     <gmd:presentationForm>
+                        <gmd:CI_PresentationFormCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_PresentationFormCode"
+                                                     codeListValue="mapDigital">mapDigital</gmd:CI_PresentationFormCode>
+                     </gmd:presentationForm>
+                  </gmd:CI_Citation>
+               </gmd:aggregateDataSetName>
+               <gmd:associationType>
+                  <gmd:DS_AssociationTypeCode codeList="https://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#DS_AssociationTypeCode"
+                                              codeListValue="largerWorkCitation">largerWorkCitation</gmd:DS_AssociationTypeCode>
+               </gmd:associationType>
+            </gmd:MD_AggregateInformation>
+         </gmd:aggregationInfo>
+         <gmd:spatialRepresentationType>
+            <gmd:MD_SpatialRepresentationTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_SpatialRepresentationTypeCode"
+                                                  codeListValue="vector">vector</gmd:MD_SpatialRepresentationTypeCode>
+         </gmd:spatialRepresentationType>
+         <gmd:language>
+            <gco:CharacterString>eng; USA</gco:CharacterString>
+         </gmd:language>
+         <gmd:characterSet>
+            <gmd:MD_CharacterSetCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_CharacterSetCode"
+                                     codeListValue="utf8">utf8</gmd:MD_CharacterSetCode>
+         </gmd:characterSet>
+         <gmd:topicCategory>
+            <gmd:MD_TopicCategoryCode>boundaries</gmd:MD_TopicCategoryCode>
+         </gmd:topicCategory>
+         <gmd:environmentDescription>
+            <gco:CharacterString>The TIGER/Line shapefiles contain geographic data only and do not include display mapping software or statistical data.  For information on how to use the TIGER/Line shapefile data with specific software package users shall contact the company that produced the software.</gco:CharacterString>
+         </gmd:environmentDescription>
+         <gmd:extent>
+            <gmd:EX_Extent id="boundingExtent">
+               <gmd:geographicElement>
+                  <gmd:EX_GeographicBoundingBox id="boundingGeographicBoundingBox">
+                     <gmd:westBoundLongitude>
+                        <gco:Decimal>-106.645646</gco:Decimal>
+                     </gmd:westBoundLongitude>
+                     <gmd:eastBoundLongitude>
+                        <gco:Decimal>-93.508039</gco:Decimal>
+                     </gmd:eastBoundLongitude>
+                     <gmd:southBoundLatitude>
+                        <gco:Decimal>25.837048</gco:Decimal>
+                     </gmd:southBoundLatitude>
+                     <gmd:northBoundLatitude>
+                        <gco:Decimal>36.500704</gco:Decimal>
+                     </gmd:northBoundLatitude>
+                  </gmd:EX_GeographicBoundingBox>
+               </gmd:geographicElement>
+               <gmd:temporalElement>
+                  <gmd:EX_TemporalExtent id="boundingTemporalExtent">
+                     <gmd:extent>
+                        <gml:TimePeriod gml:id="boundingTemporalExtentA">
+                           <gml:description>publication date</gml:description>
+                           <gml:beginPosition>2025-06</gml:beginPosition>
+                           <gml:endPosition>2026-10</gml:endPosition>
+                        </gml:TimePeriod>
+                     </gmd:extent>
+                  </gmd:EX_TemporalExtent>
+               </gmd:temporalElement>
+            </gmd:EX_Extent>
+         </gmd:extent>
+      </gmd:MD_DataIdentification>
+   </gmd:identificationInfo>
+   <gmd:contentInfo>
+      <gmd:MD_FeatureCatalogueDescription>
+         <gmd:includedWithDataset>
+            <gco:Boolean>1</gco:Boolean>
+         </gmd:includedWithDataset>
+         <gmd:featureTypes>
+            <gco:LocalName codeSpace="unknown">County Subdivisions</gco:LocalName>
+         </gmd:featureTypes>
+         <gmd:featureCatalogueCitation>
+            <gmd:CI_Citation>
+               <gmd:title>
+                  <gco:CharacterString>Feature Catalog for the County Subdivisions TIGER/Line Shapefiles</gco:CharacterString>
+               </gmd:title>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2025</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="publication">publication</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:citedResponsibleParty>
+                  <gmd:CI_ResponsibleParty>
+                     <gmd:organisationName>
+                        <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</gco:CharacterString>
+                     </gmd:organisationName>
+                     <gmd:contactInfo>
+                        <gmd:CI_Contact>
+                           <gmd:phone>
+                              <gmd:CI_Telephone>
+                                 <gmd:voice>
+                                    <gco:CharacterString>301-763-1128</gco:CharacterString>
+                                 </gmd:voice>
+                                 <gmd:facsimile>
+                                    <gco:CharacterString>301-763-4710</gco:CharacterString>
+                                 </gmd:facsimile>
+                              </gmd:CI_Telephone>
+                           </gmd:phone>
+                           <gmd:address>
+                              <gmd:CI_Address>
+                                 <gmd:deliveryPoint>
+                                    <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                                 </gmd:deliveryPoint>
+                                 <gmd:city>
+                                    <gco:CharacterString>Washington</gco:CharacterString>
+                                 </gmd:city>
+                                 <gmd:administrativeArea>
+                                    <gco:CharacterString>DC</gco:CharacterString>
+                                 </gmd:administrativeArea>
+                                 <gmd:postalCode>
+                                    <gco:CharacterString>20233-7400</gco:CharacterString>
+                                 </gmd:postalCode>
+                                 <gmd:country>
+                                    <gco:CharacterString>United States</gco:CharacterString>
+                                 </gmd:country>
+                                 <gmd:electronicMailAddress>
+                                    <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                                 </gmd:electronicMailAddress>
+                              </gmd:CI_Address>
+                           </gmd:address>
+                        </gmd:CI_Contact>
+                     </gmd:contactInfo>
+                     <gmd:role>
+                        <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                         codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+                     </gmd:role>
+                  </gmd:CI_ResponsibleParty>
+               </gmd:citedResponsibleParty>
+               <gmd:otherCitationDetails>
+                  <gco:CharacterString>https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19110/tl_2025_cousub.shp.ea.iso.xml</gco:CharacterString>
+               </gmd:otherCitationDetails>
+            </gmd:CI_Citation>
+         </gmd:featureCatalogueCitation>
+      </gmd:MD_FeatureCatalogueDescription>
+   </gmd:contentInfo>
+   <gmd:distributionInfo>
+      <gmd:MD_Distribution>
+         <gmd:distributionFormat>
+            <gmd:MD_Format>
+               <gmd:name>
+                  <gco:CharacterString>ZIP</gco:CharacterString>
+               </gmd:name>
+               <gmd:version gco:nilReason="unknown"/>
+            </gmd:MD_Format>
+         </gmd:distributionFormat>
+         <gmd:distributor>
+            <gmd:MD_Distributor>
+               <gmd:distributorContact>
+                  <gmd:CI_ResponsibleParty>
+                     <gmd:organisationName>
+                        <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division</gco:CharacterString>
+                     </gmd:organisationName>
+                     <gmd:contactInfo>
+                        <gmd:CI_Contact>
+                           <gmd:phone>
+                              <gmd:CI_Telephone>
+                                 <gmd:voice>
+                                    <gco:CharacterString>301-763-1128</gco:CharacterString>
+                                 </gmd:voice>
+                                 <gmd:facsimile>
+                                    <gco:CharacterString>301-763-4710</gco:CharacterString>
+                                 </gmd:facsimile>
+                              </gmd:CI_Telephone>
+                           </gmd:phone>
+                           <gmd:address>
+                              <gmd:CI_Address>
+                                 <gmd:deliveryPoint>
+                                    <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                                 </gmd:deliveryPoint>
+                                 <gmd:city>
+                                    <gco:CharacterString>Washington</gco:CharacterString>
+                                 </gmd:city>
+                                 <gmd:administrativeArea>
+                                    <gco:CharacterString>DC</gco:CharacterString>
+                                 </gmd:administrativeArea>
+                                 <gmd:postalCode>
+                                    <gco:CharacterString>20233-7400</gco:CharacterString>
+                                 </gmd:postalCode>
+                                 <gmd:country>
+                                    <gco:CharacterString>United States</gco:CharacterString>
+                                 </gmd:country>
+                                 <gmd:electronicMailAddress>
+                                    <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                                 </gmd:electronicMailAddress>
+                              </gmd:CI_Address>
+                           </gmd:address>
+                        </gmd:CI_Contact>
+                     </gmd:contactInfo>
+                     <gmd:role>
+                        <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                         codeListValue="distributor">distributor</gmd:CI_RoleCode>
+                     </gmd:role>
+                  </gmd:CI_ResponsibleParty>
+               </gmd:distributorContact>
+               <gmd:distributionOrderProcess>
+                  <gmd:MD_StandardOrderProcess>
+                     <gmd:fees>
+                        <gco:CharacterString>The online copy of the TIGER/Line Shapefiles may be accessed without charge.</gco:CharacterString>
+                     </gmd:fees>
+                  </gmd:MD_StandardOrderProcess>
+               </gmd:distributionOrderProcess>
+            </gmd:MD_Distributor>
+         </gmd:distributor>
+         <gmd:transferOptions>
+            <gmd:MD_DigitalTransferOptions>
+               <gmd:onLine>
+                  <gmd:CI_OnlineResource>
+                     <gmd:linkage>
+                        <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2025/COUSUB/tl_2025_48_cousub.zip</gmd:URL>
+                     </gmd:linkage>
+                     <gmd:applicationProfile>
+                        <gco:CharacterString>Shapefile Zip File</gco:CharacterString>
+                     </gmd:applicationProfile>
+                     <gmd:name>
+                        <gco:CharacterString>tl_2025_48_cousub.zip</gco:CharacterString>
+                     </gmd:name>
+                     <gmd:description>
+                        <gco:CharacterString>The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census Bureau. They are extracts of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System.</gco:CharacterString>
+                     </gmd:description>
+                     <gmd:function>
+                        <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"
+                                                   codeListValue="download">download</gmd:CI_OnLineFunctionCode>
+                     </gmd:function>
+                  </gmd:CI_OnlineResource>
+               </gmd:onLine>
+            </gmd:MD_DigitalTransferOptions>
+         </gmd:transferOptions>
+         <gmd:transferOptions>
+            <gmd:MD_DigitalTransferOptions>
+               <gmd:onLine>
+                  <gmd:CI_OnlineResource>
+                     <gmd:linkage>
+                        <gmd:URL>https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19110/tl_2025_cousub.shp.ea.iso.xml</gmd:URL>
+                     </gmd:linkage>
+                     <gmd:applicationProfile>
+                        <gco:CharacterString>XML</gco:CharacterString>
+                     </gmd:applicationProfile>
+                     <gmd:name>
+                        <gco:CharacterString>tl_2025_cousub.shp.ea.iso.xml</gco:CharacterString>
+                     </gmd:name>
+                     <gmd:description>
+                        <gco:CharacterString>Entity and attribute file</gco:CharacterString>
+                     </gmd:description>
+                     <gmd:function>
+                        <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"
+                                                   codeListValue="download">download</gmd:CI_OnLineFunctionCode>
+                     </gmd:function>
+                  </gmd:CI_OnlineResource>
+               </gmd:onLine>
+            </gmd:MD_DigitalTransferOptions>
+         </gmd:transferOptions>
+         <gmd:transferOptions>
+            <gmd:MD_DigitalTransferOptions>
+               <gmd:onLine>
+                  <gmd:CI_OnlineResource>
+                     <gmd:linkage>
+                        <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/tigerWMS_Current/MapServer</gmd:URL>
+                     </gmd:linkage>
+                     <gmd:applicationProfile>
+                        <gco:CharacterString>https://www.ogc.org/standards/wms</gco:CharacterString>
+                     </gmd:applicationProfile>
+                     <gmd:name>
+                        <gco:CharacterString>TIGERweb/tigerWMS_Current (MapServer)</gco:CharacterString>
+                     </gmd:name>
+                     <gmd:description>
+                        <gco:CharacterString>The Open Geospatial Consortium, Inc. (OGC) Web Map Service interface standard (WMS) provides a simple HTTP interface for requesting geo-registered map images from our geospatial database. The response to the request is one or more geo-registered map images that can be displayed in a browser or WMS client application. By gaining access to our data through our WMS, users can produce maps containing TIGERweb layers combined with layers from other servers.</gco:CharacterString>
+                     </gmd:description>
+                     <gmd:function>
+                        <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"
+                                                   codeListValue="search">search</gmd:CI_OnLineFunctionCode>
+                     </gmd:function>
+                  </gmd:CI_OnlineResource>
+               </gmd:onLine>
+            </gmd:MD_DigitalTransferOptions>
+         </gmd:transferOptions>
+         <gmd:transferOptions>
+            <gmd:MD_DigitalTransferOptions>
+               <gmd:onLine>
+                  <gmd:CI_OnlineResource>
+                     <gmd:linkage>
+                        <gmd:URL>https://tigerweb.geo.census.gov/arcgis/rest/services/TIGERweb/Places_CouSub_ConCity_SubMCD/MapServer</gmd:URL>
+                     </gmd:linkage>
+                     <gmd:applicationProfile>
+                        <gco:CharacterString>https://geoservices.github.io</gco:CharacterString>
+                     </gmd:applicationProfile>
+                     <gmd:name>
+                        <gco:CharacterString>TIGERweb/Places_CouSub_ConCity_SubMCD (MapServer)</gco:CharacterString>
+                     </gmd:name>
+                     <gmd:description>
+                        <gco:CharacterString>The GeoServices REST Specification provides a way for Web clients to communicate with geographic information system (GIS) servers through Representational State Transfer (REST) technology.</gco:CharacterString>
+                     </gmd:description>
+                     <gmd:function>
+                        <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"
+                                                   codeListValue="search">search</gmd:CI_OnLineFunctionCode>
+                     </gmd:function>
+                  </gmd:CI_OnlineResource>
+               </gmd:onLine>
+            </gmd:MD_DigitalTransferOptions>
+         </gmd:transferOptions>
+      </gmd:MD_Distribution>
+   </gmd:distributionInfo>
+   <gmd:dataQualityInfo>
+      <gmd:DQ_DataQuality>
+         <gmd:scope>
+            <gmd:DQ_Scope>
+               <gmd:level>
+                  <gmd:MD_ScopeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ScopeCode"
+                                    codeListValue="dataset">dataset</gmd:MD_ScopeCode>
+               </gmd:level>
+            </gmd:DQ_Scope>
+         </gmd:scope>
+         <gmd:report>
+            <gmd:DQ_ConceptualConsistency>
+               <gmd:measureDescription>
+                  <gco:CharacterString>The Census Bureau performed automated tests to ensure the logical consistency and limits of the shapefiles and relationship files. These tests ensure preestablished rules of the MAF/TIGER System for data completeness and connectivity, geographic hierarchies and relationships, and standardization of attribution and codes were met.</gco:CharacterString>
+               </gmd:measureDescription>
+               <gmd:result gco:nilReason="unknown"/>
+            </gmd:DQ_ConceptualConsistency>
+         </gmd:report>
+         <gmd:report>
+            <gmd:DQ_CompletenessOmission>
+               <gmd:evaluationMethodDescription>
+                  <gco:CharacterString>Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER System at the time the shapefiles were created.</gco:CharacterString>
+               </gmd:evaluationMethodDescription>
+               <gmd:result gco:nilReason="unknown"/>
+            </gmd:DQ_CompletenessOmission>
+         </gmd:report>
+         <gmd:report>
+            <gmd:DQ_CompletenessCommission>
+               <gmd:evaluationMethodDescription>
+                  <gco:CharacterString>Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER System at the time the shapefiles were created.</gco:CharacterString>
+               </gmd:evaluationMethodDescription>
+               <gmd:result gco:nilReason="unknown"/>
+            </gmd:DQ_CompletenessCommission>
+         </gmd:report>
+      </gmd:DQ_DataQuality>
+   </gmd:dataQualityInfo>
+   <gmd:metadataMaintenance>
+      <gmd:MD_MaintenanceInformation>
+         <gmd:maintenanceAndUpdateFrequency>
+            <gmd:MD_MaintenanceFrequencyCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_MaintenanceFrequencyCode"
+                                             codeListValue="annually">annually</gmd:MD_MaintenanceFrequencyCode>
+         </gmd:maintenanceAndUpdateFrequency>
+         <gmd:maintenanceNote>
+            <gco:CharacterString>This was transformed from the Census Bureau Geospatial Product Metadata Content Standard.</gco:CharacterString>
+         </gmd:maintenanceNote>
+      </gmd:MD_MaintenanceInformation>
+   </gmd:metadataMaintenance>
+</gmi:MI_Metadata>

data/texmex_shape/tl_2023_us_internationalboundary.cpg

@@ -0,0 +1 @@
+UTF-8

data/texmex_shape/tl_2023_us_internationalboundary.prj

@@ -0,0 +1 @@
+GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137,298.257222101]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]]

data/texmex_shape/tl_2023_us_internationalboundary.shp.ea.iso.xml

@@ -0,0 +1,250 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<gfc:FC_FeatureCatalogue xmlns:xlink="http://www.w3.org/1999/xlink"
+                         xmlns:gmd="http://www.isotc211.org/2005/gmd"
+                         xmlns:gco="http://www.isotc211.org/2005/gco"
+                         xmlns:gml="http://www.opengis.net/gml/3.2"
+                         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+                         xmlns:gmi="http://www.isotc211.org/2005/gmi"
+                         xmlns:srv="http://www.isotc211.org/2005/srv"
+                         xmlns:gmx="http://www.isotc211.org/2005/gmx"
+                         xmlns:gfc="http://www.isotc211.org/2005/gfc">
+   <gmx:name>
+      <gco:CharacterString>Feature Catalog for the 2023 International Boundary TIGER/Line Shapefile</gco:CharacterString>
+   </gmx:name>
+   <gmx:scope>
+      <gco:CharacterString>International Boundaries</gco:CharacterString>
+   </gmx:scope>
+   <gmx:versionNumber>
+      <gco:CharacterString>2023</gco:CharacterString>
+   </gmx:versionNumber>
+   <gmx:versionDate>
+      <gco:Date>2023-11-11</gco:Date>
+   </gmx:versionDate>
+   <gmx:language>
+      <gco:CharacterString>eng</gco:CharacterString>
+   </gmx:language>
+   <gmx:characterSet>
+      <gmd:MD_CharacterSetCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_CharacterSetCode"
+                               codeListValue="utf8">utf8</gmd:MD_CharacterSetCode>
+   </gmx:characterSet>
+   <gfc:producer>
+      <gmd:CI_ResponsibleParty>
+         <gmd:organisationName>
+            <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch</gco:CharacterString>
+         </gmd:organisationName>
+         <gmd:contactInfo>
+            <gmd:CI_Contact>
+               <gmd:phone>
+                  <gmd:CI_Telephone>
+                     <gmd:voice>
+                        <gco:CharacterString>301-763-1128</gco:CharacterString>
+                     </gmd:voice>
+                     <gmd:facsimile>
+                        <gco:CharacterString>301-763-4710</gco:CharacterString>
+                     </gmd:facsimile>
+                  </gmd:CI_Telephone>
+               </gmd:phone>
+               <gmd:address>
+                  <gmd:CI_Address>
+                     <gmd:deliveryPoint>
+                        <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                     </gmd:deliveryPoint>
+                     <gmd:city>
+                        <gco:CharacterString>Washington</gco:CharacterString>
+                     </gmd:city>
+                     <gmd:administrativeArea>
+                        <gco:CharacterString>DC</gco:CharacterString>
+                     </gmd:administrativeArea>
+                     <gmd:postalCode>
+                        <gco:CharacterString>20233-7400</gco:CharacterString>
+                     </gmd:postalCode>
+                     <gmd:country>
+                        <gco:CharacterString>United States</gco:CharacterString>
+                     </gmd:country>
+                     <gmd:electronicMailAddress>
+                        <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                     </gmd:electronicMailAddress>
+                  </gmd:CI_Address>
+               </gmd:address>
+            </gmd:CI_Contact>
+         </gmd:contactInfo>
+         <gmd:role>
+            <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                             codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+         </gmd:role>
+      </gmd:CI_ResponsibleParty>
+   </gfc:producer>
+   <gfc:featureType>
+      <gfc:FC_FeatureType>
+         <gfc:typeName>
+            <gco:LocalName>INTERNATIONALBOUNDARY.shp</gco:LocalName>
+         </gfc:typeName>
+         <gfc:definition>
+            <gco:CharacterString>International boundary lines</gco:CharacterString>
+         </gfc:definition>
+         <gfc:isAbstract>
+            <gco:Boolean>false</gco:Boolean>
+         </gfc:isAbstract>
+         <gfc:featureCatalogue uuidref="tl_2023_internationalboundary.shp.ea.iso.xml"/>
+         <gfc:carrierOfCharacteristics>
+            <gfc:FC_FeatureAttribute>
+               <gfc:memberName>
+                  <gco:LocalName>IBTYPE</gco:LocalName>
+               </gfc:memberName>
+               <gfc:definition>
+                  <gco:CharacterString>International boundary type flag that indicates type of international boundary that the edge represents</gco:CharacterString>
+               </gfc:definition>
+               <gfc:cardinality gco:nilReason="unknown"/>
+               <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                        xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>A</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Alaska/Canada Boundary</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>C</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Canada/Lower 48 Boundary</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>M</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Mexico/US Boundary</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+            </gfc:FC_FeatureAttribute>
+         </gfc:carrierOfCharacteristics>
+         <gfc:carrierOfCharacteristics>
+            <gfc:FC_FeatureAttribute>
+               <gfc:memberName>
+                  <gco:LocalName>IBSTATUS</gco:LocalName>
+               </gfc:memberName>
+               <gfc:definition>
+                  <gco:CharacterString>International boundary status flag that indicates status of international boundary that the edge represents</gco:CharacterString>
+               </gfc:definition>
+               <gfc:cardinality gco:nilReason="unknown"/>
+               <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                        xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>U</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Unverified international boundary</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>V</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Verified international boundary</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+            </gfc:FC_FeatureAttribute>
+         </gfc:carrierOfCharacteristics>
+         <gfc:carrierOfCharacteristics>
+            <gfc:FC_FeatureAttribute>
+               <gfc:memberName>
+                  <gco:LocalName>MTFCC</gco:LocalName>
+               </gfc:memberName>
+               <gfc:definition>
+                  <gco:CharacterString>MAF/TIGER feature class code of the primary feature for the international boundary edge</gco:CharacterString>
+               </gfc:definition>
+               <gfc:cardinality gco:nilReason="unknown"/>
+               <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                        xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>H1100</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Connector</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>H3010</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Stream/River</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>P0001</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Nonvisible Linear Legal/Statistical Boundary</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>S1400</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Local Neighborhood Road, Rural Road, City Street</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+               <gfc:listedValue>
+                  <gfc:FC_ListedValue>
+                     <gfc:label>
+                        <gco:CharacterString>S1740</gco:CharacterString>
+                     </gfc:label>
+                     <gfc:definition>
+                        <gco:CharacterString>Service Road for access to industrial, ranch, resource extraction, etc. land use or facilities.</gco:CharacterString>
+                     </gfc:definition>
+                     <gfc:definitionReference xlink:title="U.S Census Bureau"
+                                              xlink:href="http://www.ngdc.noaa.gov/docucomp/eb139e38-ee29-4d59-b157-5e874d4420c4"/>
+                  </gfc:FC_ListedValue>
+               </gfc:listedValue>
+            </gfc:FC_FeatureAttribute>
+         </gfc:carrierOfCharacteristics>
+      </gfc:FC_FeatureType>
+   </gfc:featureType>
+</gfc:FC_FeatureCatalogue>

data/texmex_shape/tl_2023_us_internationalboundary.shp.iso.xml

@@ -0,0 +1,701 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<gmi:MI_Metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+                 xmlns:gmd="http://www.isotc211.org/2005/gmd"
+                 xmlns:gco="http://www.isotc211.org/2005/gco"
+                 xmlns:gml="http://www.opengis.net/gml/3.2"
+                 xmlns:gmi="http://www.isotc211.org/2005/gmi"
+                 xmlns:xlink="http://www.w3.org/1999/xlink"
+                 xmlns:srv="http://www.isotc211.org/2005/srv"
+                 xsi:schemaLocation="http://www.isotc211.org/2005/gmi https://data.noaa.gov/resources/iso19139/schema.xsd">
+   <gmd:fileIdentifier>
+      <gco:CharacterString>tl_2023_us_internationalboundary.shp.iso.xml</gco:CharacterString>
+   </gmd:fileIdentifier>
+   <gmd:language>
+      <gco:CharacterString>eng</gco:CharacterString>
+   </gmd:language>
+   <gmd:characterSet>
+      <gmd:MD_CharacterSetCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_CharacterSetCode"
+                               codeListValue="utf8">utf8</gmd:MD_CharacterSetCode>
+   </gmd:characterSet>
+   <gmd:hierarchyLevel>
+      <gmd:MD_ScopeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ScopeCode"
+                        codeListValue="dataset">dataset</gmd:MD_ScopeCode>
+   </gmd:hierarchyLevel>
+   <gmd:contact>
+      <gmd:CI_ResponsibleParty>
+         <gmd:organisationName>
+            <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch</gco:CharacterString>
+         </gmd:organisationName>
+         <gmd:contactInfo>
+            <gmd:CI_Contact>
+               <gmd:phone>
+                  <gmd:CI_Telephone>
+                     <gmd:voice>
+                        <gco:CharacterString>301-763-1128</gco:CharacterString>
+                     </gmd:voice>
+                     <gmd:facsimile>
+                        <gco:CharacterString>301-763-4710</gco:CharacterString>
+                     </gmd:facsimile>
+                  </gmd:CI_Telephone>
+               </gmd:phone>
+               <gmd:address>
+                  <gmd:CI_Address>
+                     <gmd:deliveryPoint>
+                        <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                     </gmd:deliveryPoint>
+                     <gmd:city>
+                        <gco:CharacterString>Washington</gco:CharacterString>
+                     </gmd:city>
+                     <gmd:administrativeArea>
+                        <gco:CharacterString>DC</gco:CharacterString>
+                     </gmd:administrativeArea>
+                     <gmd:postalCode>
+                        <gco:CharacterString>20233-7400</gco:CharacterString>
+                     </gmd:postalCode>
+                     <gmd:country>
+                        <gco:CharacterString>United States</gco:CharacterString>
+                     </gmd:country>
+                     <gmd:electronicMailAddress>
+                        <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                     </gmd:electronicMailAddress>
+                  </gmd:CI_Address>
+               </gmd:address>
+            </gmd:CI_Contact>
+         </gmd:contactInfo>
+         <gmd:role>
+            <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                             codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+         </gmd:role>
+      </gmd:CI_ResponsibleParty>
+   </gmd:contact>
+   <gmd:dateStamp>
+      <gco:Date>2023-11-11</gco:Date>
+   </gmd:dateStamp>
+   <gmd:metadataStandardName>
+      <gco:CharacterString>ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data</gco:CharacterString>
+   </gmd:metadataStandardName>
+   <gmd:metadataStandardVersion>
+      <gco:CharacterString>ISO 19115-2:2009(E)</gco:CharacterString>
+   </gmd:metadataStandardVersion>
+   <gmd:dataSetURI>
+      <gco:CharacterString>https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19115/tl_2023_us_internationalboundary.shp.iso.xml</gco:CharacterString>
+   </gmd:dataSetURI>
+   <gmd:spatialRepresentationInfo>
+      <gmd:MD_VectorSpatialRepresentation>
+         <gmd:geometricObjects>
+            <gmd:MD_GeometricObjects>
+               <gmd:geometricObjectType>
+                  <gmd:MD_GeometricObjectTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_GeometricObjectTypeCode"
+                                                  codeListValue="complex">complex</gmd:MD_GeometricObjectTypeCode>
+               </gmd:geometricObjectType>
+               <gmd:geometricObjectCount>
+                  <gco:Integer>4759</gco:Integer>
+               </gmd:geometricObjectCount>
+            </gmd:MD_GeometricObjects>
+         </gmd:geometricObjects>
+      </gmd:MD_VectorSpatialRepresentation>
+   </gmd:spatialRepresentationInfo>
+   <gmd:referenceSystemInfo>
+      <gmd:MD_ReferenceSystem uuid="65f8b220-95ed-11e0-aa80-0800200c9a66">
+         <gmd:referenceSystemIdentifier>
+            <gmd:RS_Identifier>
+               <gmd:authority>
+                  <gmd:CI_Citation>
+                     <gmd:title>
+                        <gco:CharacterString>North American Datum of 1983</gco:CharacterString>
+                     </gmd:title>
+                     <gmd:alternateTitle>
+                        <gco:CharacterString>NAD83</gco:CharacterString>
+                     </gmd:alternateTitle>
+                     <gmd:date>
+                        <gmd:CI_Date>
+                           <gmd:date>
+                              <gco:Date>2007-01-19</gco:Date>
+                           </gmd:date>
+                           <gmd:dateType>
+                              <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                                   codeListValue="revision">revision</gmd:CI_DateTypeCode>
+                           </gmd:dateType>
+                        </gmd:CI_Date>
+                     </gmd:date>
+                     <gmd:citedResponsibleParty>
+                        <gmd:CI_ResponsibleParty>
+                           <gmd:organisationName gco:nilReason="withheld"/>
+                           <gmd:contactInfo>
+                              <gmd:CI_Contact>
+                                 <gmd:onlineResource>
+                                    <gmd:CI_OnlineResource>
+                                       <gmd:linkage>
+                                          <gmd:URL>https://spatialreference.org/ref/epsg/4269/gml/</gmd:URL>
+                                       </gmd:linkage>
+                                       <gmd:name>
+                                          <gco:CharacterString>NAD83</gco:CharacterString>
+                                       </gmd:name>
+                                       <gmd:description>
+                                          <gco:CharacterString>Link to Geographic Markup Language (GML) description of reference system.</gco:CharacterString>
+                                       </gmd:description>
+                                       <gmd:function>
+                                          <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnLineFunctionCode"
+                                                                     codeListValue="information">information</gmd:CI_OnLineFunctionCode>
+                                       </gmd:function>
+                                    </gmd:CI_OnlineResource>
+                                 </gmd:onlineResource>
+                              </gmd:CI_Contact>
+                           </gmd:contactInfo>
+                           <gmd:role>
+                              <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                               codeListValue="resourceProvider">resourceProvider</gmd:CI_RoleCode>
+                           </gmd:role>
+                        </gmd:CI_ResponsibleParty>
+                     </gmd:citedResponsibleParty>
+                  </gmd:CI_Citation>
+               </gmd:authority>
+               <gmd:code>
+                  <gco:CharacterString>urn:ogc:def:crs:EPSG::4269</gco:CharacterString>
+               </gmd:code>
+            </gmd:RS_Identifier>
+         </gmd:referenceSystemIdentifier>
+      </gmd:MD_ReferenceSystem>
+   </gmd:referenceSystemInfo>
+   <gmd:identificationInfo>
+      <gmd:MD_DataIdentification>
+         <gmd:citation>
+            <gmd:CI_Citation>
+               <gmd:title>
+                  <gco:CharacterString>TIGER/Line Shapefile, 2023, Nation, U.S., International Boundaries (national)</gco:CharacterString>
+               </gmd:title>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2023</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="publication">publication</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2023-10</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="creation">creation</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2023-10</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="lastUpdate">lastUpdate</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:identifier>
+                  <gmd:MD_Identifier>
+                     <gmd:code>
+                        <gco:CharacterString>tl_2023_us_internationalboundary</gco:CharacterString>
+                     </gmd:code>
+                  </gmd:MD_Identifier>
+               </gmd:identifier>
+               <gmd:citedResponsibleParty>
+                  <gmd:CI_ResponsibleParty>
+                     <gmd:organisationName>
+                        <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch</gco:CharacterString>
+                     </gmd:organisationName>
+                     <gmd:contactInfo>
+                        <gmd:CI_Contact>
+                           <gmd:phone>
+                              <gmd:CI_Telephone>
+                                 <gmd:voice>
+                                    <gco:CharacterString>301-763-1128</gco:CharacterString>
+                                 </gmd:voice>
+                                 <gmd:facsimile>
+                                    <gco:CharacterString>301-763-4710</gco:CharacterString>
+                                 </gmd:facsimile>
+                              </gmd:CI_Telephone>
+                           </gmd:phone>
+                           <gmd:address>
+                              <gmd:CI_Address>
+                                 <gmd:deliveryPoint>
+                                    <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                                 </gmd:deliveryPoint>
+                                 <gmd:city>
+                                    <gco:CharacterString>Washington</gco:CharacterString>
+                                 </gmd:city>
+                                 <gmd:administrativeArea>
+                                    <gco:CharacterString>DC</gco:CharacterString>
+                                 </gmd:administrativeArea>
+                                 <gmd:postalCode>
+                                    <gco:CharacterString>20233-7400</gco:CharacterString>
+                                 </gmd:postalCode>
+                                 <gmd:country>
+                                    <gco:CharacterString>United States</gco:CharacterString>
+                                 </gmd:country>
+                                 <gmd:electronicMailAddress>
+                                    <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                                 </gmd:electronicMailAddress>
+                              </gmd:CI_Address>
+                           </gmd:address>
+                        </gmd:CI_Contact>
+                     </gmd:contactInfo>
+                     <gmd:role>
+                        <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                         codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+                     </gmd:role>
+                  </gmd:CI_ResponsibleParty>
+               </gmd:citedResponsibleParty>
+               <gmd:presentationForm>
+                  <gmd:CI_PresentationFormCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_PresentationFormCode"
+                                               codeListValue="mapDigital">mapDigital</gmd:CI_PresentationFormCode>
+               </gmd:presentationForm>
+            </gmd:CI_Citation>
+         </gmd:citation>
+         <gmd:abstract>
+            <gco:CharacterString>The international boundary data featured in this shapefile consists of the boundary between the United States and Canada and the United States and Mexico. Each country's section is administered independently. The United States and Canada border data was provided by the International Boundary Commission, United   States and Canada (IBC). The International Boundary and Water Commission (IBWC) provided the United States and Mexico   section of the border data. 
+Geospatial data files provided individually by the IBC and IBWC were used to   re-align the Census Bureau's MAF/TIGER System data for the agency's representation of the international boundaries of United States with Canada and Mexico. 
+The Census Bureau's MAF/TIGER System and the IBWC source file data  for the portion of the United States and Mexico border featured a gap between Cameron County, Texas and the three-mile  limit in the Gulf of Mexico. The National Oceanic and Atmospheric Administration Coast Survey Office's representation  of the United States and Mexico boundary used to fill this gap.</gco:CharacterString>
+         </gmd:abstract>
+         <gmd:purpose>
+            <gco:CharacterString>The Census Bureau releases extracts of the MAF/TIGER database in the form of TIGER/Line Shapefiles for others to use in geographic information systems (GIS) or for other geographic applications.</gco:CharacterString>
+         </gmd:purpose>
+         <gmd:status>
+            <gmd:MD_ProgressCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ProgressCode"
+                                 codeListValue="completed">completed</gmd:MD_ProgressCode>
+         </gmd:status>
+         <gmd:pointOfContact>
+            <gmd:CI_ResponsibleParty>
+               <gmd:organisationName>
+                  <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch</gco:CharacterString>
+               </gmd:organisationName>
+               <gmd:contactInfo>
+                  <gmd:CI_Contact>
+                     <gmd:phone>
+                        <gmd:CI_Telephone>
+                           <gmd:voice>
+                              <gco:CharacterString>301-763-1128</gco:CharacterString>
+                           </gmd:voice>
+                           <gmd:facsimile>
+                              <gco:CharacterString>301-763-4710</gco:CharacterString>
+                           </gmd:facsimile>
+                        </gmd:CI_Telephone>
+                     </gmd:phone>
+                     <gmd:address>
+                        <gmd:CI_Address>
+                           <gmd:deliveryPoint>
+                              <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                           </gmd:deliveryPoint>
+                           <gmd:city>
+                              <gco:CharacterString>Washington</gco:CharacterString>
+                           </gmd:city>
+                           <gmd:administrativeArea>
+                              <gco:CharacterString>DC</gco:CharacterString>
+                           </gmd:administrativeArea>
+                           <gmd:postalCode>
+                              <gco:CharacterString>20233-7400</gco:CharacterString>
+                           </gmd:postalCode>
+                           <gmd:country>
+                              <gco:CharacterString>United States</gco:CharacterString>
+                           </gmd:country>
+                           <gmd:electronicMailAddress>
+                              <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                           </gmd:electronicMailAddress>
+                        </gmd:CI_Address>
+                     </gmd:address>
+                  </gmd:CI_Contact>
+               </gmd:contactInfo>
+               <gmd:role>
+                  <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                   codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+               </gmd:role>
+            </gmd:CI_ResponsibleParty>
+         </gmd:pointOfContact>
+         <gmd:resourceMaintenance>
+            <gmd:MD_MaintenanceInformation>
+               <gmd:maintenanceAndUpdateFrequency>
+                  <gmd:MD_MaintenanceFrequencyCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_MaintenanceFrequencyCode"
+                                                   codeListValue="notPlanned">notPlanned</gmd:MD_MaintenanceFrequencyCode>
+               </gmd:maintenanceAndUpdateFrequency>
+            </gmd:MD_MaintenanceInformation>
+         </gmd:resourceMaintenance>
+         <gmd:descriptiveKeywords>
+            <gmd:MD_Keywords>
+               <gmd:keyword>
+                  <gco:CharacterString>Nation</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Polygon</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>International Boundary</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>US</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Canada</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>Mexico</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:type>
+                  <gmd:MD_KeywordTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_KeywordTypeCode"
+                                          codeListValue="theme"/>
+               </gmd:type>
+               <gmd:thesaurusName>
+                  <gmd:CI_Citation>
+                     <gmd:title>
+                        <gco:CharacterString>None</gco:CharacterString>
+                     </gmd:title>
+                     <gmd:date gco:nilReason="unknown"/>
+                  </gmd:CI_Citation>
+               </gmd:thesaurusName>
+            </gmd:MD_Keywords>
+         </gmd:descriptiveKeywords>
+         <gmd:descriptiveKeywords>
+            <gmd:MD_Keywords>
+               <gmd:keyword>
+                  <gco:CharacterString>United States</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:keyword>
+                  <gco:CharacterString>U.S.</gco:CharacterString>
+               </gmd:keyword>
+               <gmd:type>
+                  <gmd:MD_KeywordTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_KeywordTypeCode"
+                                          codeListValue="place"/>
+               </gmd:type>
+               <gmd:thesaurusName>
+                  <gmd:CI_Citation>
+                     <gmd:title>
+                        <gco:CharacterString>ISO 3166 codes for the representation of names of countries and their subdivisions. </gco:CharacterString>
+                     </gmd:title>
+                     <gmd:date gco:nilReason="unknown"/>
+                  </gmd:CI_Citation>
+               </gmd:thesaurusName>
+            </gmd:MD_Keywords>
+         </gmd:descriptiveKeywords>
+         <gmd:resourceConstraints>
+            <gmd:MD_LegalConstraints>
+               <gmd:accessConstraints>
+                  <gmd:MD_RestrictionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_RestrictionCode"
+                                          codeListValue="otherRestrictions">otherRestrictions</gmd:MD_RestrictionCode>
+               </gmd:accessConstraints>
+               <gmd:useConstraints>
+                  <gmd:MD_RestrictionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_RestrictionCode"
+                                          codeListValue="otherRestrictions">otherRestrictions</gmd:MD_RestrictionCode>
+               </gmd:useConstraints>
+               <gmd:otherConstraints>
+                  <gco:CharacterString>Access constraints: None</gco:CharacterString>
+               </gmd:otherConstraints>
+               <gmd:otherConstraints>
+                  <gco:CharacterString>Use Constraints: The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source.
+The horizontal spatial accuracy information present in these files is provided for the purposes of statistical analysis and census operations only.  No warranty, expressed or implied is made with regard to the accuracy of the spatial accuracy, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau, specifically as to the spatial or attribute accuracy of the data.  The TIGER/Line Shapefiles may not be suitable for high-precision measurement applications such as engineering problems, property transfers, or other uses that might require highly accurate measurements of the earth's surface.Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.</gco:CharacterString>
+               </gmd:otherConstraints>
+            </gmd:MD_LegalConstraints>
+         </gmd:resourceConstraints>
+         <gmd:spatialRepresentationType>
+            <gmd:MD_SpatialRepresentationTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_SpatialRepresentationTypeCode"
+                                                  codeListValue="vector">vector</gmd:MD_SpatialRepresentationTypeCode>
+         </gmd:spatialRepresentationType>
+         <gmd:language>
+            <gco:CharacterString>eng; USA</gco:CharacterString>
+         </gmd:language>
+         <gmd:characterSet>
+            <gmd:MD_CharacterSetCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_CharacterSetCode"
+                                     codeListValue="utf8">utf8</gmd:MD_CharacterSetCode>
+         </gmd:characterSet>
+         <gmd:topicCategory>
+            <gmd:MD_TopicCategoryCode>boundaries</gmd:MD_TopicCategoryCode>
+         </gmd:topicCategory>
+         <gmd:environmentDescription>
+            <gco:CharacterString>The TIGER/Line shapefiles contain geographic data only and do not include display mapping software or statistical data.  For information on how to use the TIGER/Line shapefile data with specific software package users shall contact the company that produced the software.</gco:CharacterString>
+         </gmd:environmentDescription>
+         <gmd:extent>
+            <gmd:EX_Extent id="boundingExtent">
+               <gmd:geographicElement>
+                  <gmd:EX_GeographicBoundingBox id="boundingGeographicBoundingBox">
+                     <gmd:westBoundLongitude>
+                        <gco:Decimal>-178.443593</gco:Decimal>
+                     </gmd:westBoundLongitude>
+                     <gmd:eastBoundLongitude>
+                        <gco:Decimal>146.154418</gco:Decimal>
+                     </gmd:eastBoundLongitude>
+                     <gmd:southBoundLatitude>
+                        <gco:Decimal>-14.601813</gco:Decimal>
+                     </gmd:southBoundLatitude>
+                     <gmd:northBoundLatitude>
+                        <gco:Decimal>71.439786</gco:Decimal>
+                     </gmd:northBoundLatitude>
+                  </gmd:EX_GeographicBoundingBox>
+               </gmd:geographicElement>
+               <gmd:temporalElement>
+                  <gmd:EX_TemporalExtent id="boundingTemporalExtent">
+                     <gmd:extent>
+                        <gml:TimePeriod gml:id="boundingTemporalExtentA">
+                           <gml:description>publication date</gml:description>
+                           <gml:beginPosition>2023-06</gml:beginPosition>
+                           <gml:endPosition>2024-10</gml:endPosition>
+                        </gml:TimePeriod>
+                     </gmd:extent>
+                  </gmd:EX_TemporalExtent>
+               </gmd:temporalElement>
+            </gmd:EX_Extent>
+         </gmd:extent>
+      </gmd:MD_DataIdentification>
+   </gmd:identificationInfo>
+   <gmd:contentInfo>
+      <gmd:MD_FeatureCatalogueDescription>
+         <gmd:includedWithDataset>
+            <gco:Boolean>1</gco:Boolean>
+         </gmd:includedWithDataset>
+         <gmd:featureTypes>
+            <gco:LocalName codeSpace="unknown">International Boundaries</gco:LocalName>
+         </gmd:featureTypes>
+         <gmd:featureCatalogueCitation>
+            <gmd:CI_Citation>
+               <gmd:title>
+                  <gco:CharacterString>Feature Catalog for the 2023 International Boundary TIGER/Line Shapefile</gco:CharacterString>
+               </gmd:title>
+               <gmd:date>
+                  <gmd:CI_Date>
+                     <gmd:date>
+                        <gco:Date>2023</gco:Date>
+                     </gmd:date>
+                     <gmd:dateType>
+                        <gmd:CI_DateTypeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_DateTypeCode"
+                                             codeListValue="publication">publication</gmd:CI_DateTypeCode>
+                     </gmd:dateType>
+                  </gmd:CI_Date>
+               </gmd:date>
+               <gmd:citedResponsibleParty>
+                  <gmd:CI_ResponsibleParty>
+                     <gmd:organisationName>
+                        <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch</gco:CharacterString>
+                     </gmd:organisationName>
+                     <gmd:contactInfo>
+                        <gmd:CI_Contact>
+                           <gmd:phone>
+                              <gmd:CI_Telephone>
+                                 <gmd:voice>
+                                    <gco:CharacterString>301-763-1128</gco:CharacterString>
+                                 </gmd:voice>
+                                 <gmd:facsimile>
+                                    <gco:CharacterString>301-763-4710</gco:CharacterString>
+                                 </gmd:facsimile>
+                              </gmd:CI_Telephone>
+                           </gmd:phone>
+                           <gmd:address>
+                              <gmd:CI_Address>
+                                 <gmd:deliveryPoint>
+                                    <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                                 </gmd:deliveryPoint>
+                                 <gmd:city>
+                                    <gco:CharacterString>Washington</gco:CharacterString>
+                                 </gmd:city>
+                                 <gmd:administrativeArea>
+                                    <gco:CharacterString>DC</gco:CharacterString>
+                                 </gmd:administrativeArea>
+                                 <gmd:postalCode>
+                                    <gco:CharacterString>20233-7400</gco:CharacterString>
+                                 </gmd:postalCode>
+                                 <gmd:country>
+                                    <gco:CharacterString>United States</gco:CharacterString>
+                                 </gmd:country>
+                                 <gmd:electronicMailAddress>
+                                    <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                                 </gmd:electronicMailAddress>
+                              </gmd:CI_Address>
+                           </gmd:address>
+                        </gmd:CI_Contact>
+                     </gmd:contactInfo>
+                     <gmd:role>
+                        <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                         codeListValue="pointOfContact">pointOfContact</gmd:CI_RoleCode>
+                     </gmd:role>
+                  </gmd:CI_ResponsibleParty>
+               </gmd:citedResponsibleParty>
+               <gmd:otherCitationDetails>
+                  <gco:CharacterString>https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19110/tl_2023_internationalboundary.shp.ea.iso.xml</gco:CharacterString>
+               </gmd:otherCitationDetails>
+            </gmd:CI_Citation>
+         </gmd:featureCatalogueCitation>
+      </gmd:MD_FeatureCatalogueDescription>
+   </gmd:contentInfo>
+   <gmd:distributionInfo>
+      <gmd:MD_Distribution>
+         <gmd:distributionFormat>
+            <gmd:MD_Format>
+               <gmd:name>
+                  <gco:CharacterString>ZIP</gco:CharacterString>
+               </gmd:name>
+               <gmd:version gco:nilReason="unknown"/>
+            </gmd:MD_Format>
+         </gmd:distributionFormat>
+         <gmd:distributor>
+            <gmd:MD_Distributor>
+               <gmd:distributorContact>
+                  <gmd:CI_ResponsibleParty>
+                     <gmd:organisationName>
+                        <gco:CharacterString>U.S. Department of Commerce, U.S. Census Bureau, 
+       Geography Division, Customer Engagement Branch
+      </gco:CharacterString>
+                     </gmd:organisationName>
+                     <gmd:contactInfo>
+                        <gmd:CI_Contact>
+                           <gmd:phone>
+                              <gmd:CI_Telephone>
+                                 <gmd:voice>
+                                    <gco:CharacterString>301-763-1128</gco:CharacterString>
+                                 </gmd:voice>
+                                 <gmd:facsimile>
+                                    <gco:CharacterString>301-763-4710</gco:CharacterString>
+                                 </gmd:facsimile>
+                              </gmd:CI_Telephone>
+                           </gmd:phone>
+                           <gmd:address>
+                              <gmd:CI_Address>
+                                 <gmd:deliveryPoint>
+                                    <gco:CharacterString>4600 Silver Hill Road, Stop 7400</gco:CharacterString>
+                                 </gmd:deliveryPoint>
+                                 <gmd:city>
+                                    <gco:CharacterString>Washington</gco:CharacterString>
+                                 </gmd:city>
+                                 <gmd:administrativeArea>
+                                    <gco:CharacterString>DC</gco:CharacterString>
+                                 </gmd:administrativeArea>
+                                 <gmd:postalCode>
+                                    <gco:CharacterString>20233-7400</gco:CharacterString>
+                                 </gmd:postalCode>
+                                 <gmd:country>
+                                    <gco:CharacterString>United States</gco:CharacterString>
+                                 </gmd:country>
+                                 <gmd:electronicMailAddress>
+                                    <gco:CharacterString>geo.geography@census.gov</gco:CharacterString>
+                                 </gmd:electronicMailAddress>
+                              </gmd:CI_Address>
+                           </gmd:address>
+                        </gmd:CI_Contact>
+                     </gmd:contactInfo>
+                     <gmd:role>
+                        <gmd:CI_RoleCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_RoleCode"
+                                         codeListValue="distributor">distributor</gmd:CI_RoleCode>
+                     </gmd:role>
+                  </gmd:CI_ResponsibleParty>
+               </gmd:distributorContact>
+               <gmd:distributionOrderProcess>
+                  <gmd:MD_StandardOrderProcess>
+                     <gmd:fees>
+                        <gco:CharacterString>The online copy of the TIGER/Line Shapefiles may be accessed without charge.</gco:CharacterString>
+                     </gmd:fees>
+                  </gmd:MD_StandardOrderProcess>
+               </gmd:distributionOrderProcess>
+            </gmd:MD_Distributor>
+         </gmd:distributor>
+         <gmd:transferOptions>
+            <gmd:MD_DigitalTransferOptions>
+               <gmd:onLine>
+                  <gmd:CI_OnlineResource>
+                     <gmd:linkage>
+                        <gmd:URL>https://www2.census.gov/geo/tiger/TIGER2023/INTERNATIONALBOUNDARY/tl_2023_us_internationalboundary.zip</gmd:URL>
+                     </gmd:linkage>
+                     <gmd:applicationProfile>
+                        <gco:CharacterString>Shapefile Zip File</gco:CharacterString>
+                     </gmd:applicationProfile>
+                     <gmd:name>
+                        <gco:CharacterString>tl_2023_us_internationalboundary.zip</gco:CharacterString>
+                     </gmd:name>
+                     <gmd:description>
+                        <gco:CharacterString>The TIGER/Line Shapefiles are the fully supported, core geographic product from the U.S. Census Bureau. They are extracts of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File/Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database. </gco:CharacterString>
+                     </gmd:description>
+                     <gmd:function>
+                        <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"
+                                                   codeListValue="download">download</gmd:CI_OnLineFunctionCode>
+                     </gmd:function>
+                  </gmd:CI_OnlineResource>
+               </gmd:onLine>
+            </gmd:MD_DigitalTransferOptions>
+         </gmd:transferOptions>
+         <gmd:transferOptions>
+            <gmd:MD_DigitalTransferOptions>
+               <gmd:onLine>
+                  <gmd:CI_OnlineResource>
+                     <gmd:linkage>
+                        <gmd:URL>https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/Current_19110/tl_2023_internationalboundary.shp.ea.iso.xml</gmd:URL>
+                     </gmd:linkage>
+                     <gmd:applicationProfile>
+                        <gco:CharacterString>XML</gco:CharacterString>
+                     </gmd:applicationProfile>
+                     <gmd:name>
+                        <gco:CharacterString>tl_2023_internationalboundary.shp.ea.iso.xml</gco:CharacterString>
+                     </gmd:name>
+                     <gmd:description>
+                        <gco:CharacterString>Entity and attribute file</gco:CharacterString>
+                     </gmd:description>
+                     <gmd:function>
+                        <gmd:CI_OnLineFunctionCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#CI_OnlineFunctionCode"
+                                                   codeListValue="download">download</gmd:CI_OnLineFunctionCode>
+                     </gmd:function>
+                  </gmd:CI_OnlineResource>
+               </gmd:onLine>
+            </gmd:MD_DigitalTransferOptions>
+         </gmd:transferOptions>
+      </gmd:MD_Distribution>
+   </gmd:distributionInfo>
+   <gmd:dataQualityInfo>
+      <gmd:DQ_DataQuality>
+         <gmd:scope>
+            <gmd:DQ_Scope>
+               <gmd:level>
+                  <gmd:MD_ScopeCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_ScopeCode"
+                                    codeListValue="dataset">dataset</gmd:MD_ScopeCode>
+               </gmd:level>
+            </gmd:DQ_Scope>
+         </gmd:scope>
+         <gmd:report>
+            <gmd:DQ_ConceptualConsistency>
+               <gmd:measureDescription>
+                  <gco:CharacterString>
+					The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure.
+					The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database.  Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities.  The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files.  Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining the Geographic Names Information System (GNIS).  Feature attribute information has been examined but has not been fully tested for consistency. 
+					For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table.  For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.					
+				</gco:CharacterString>
+               </gmd:measureDescription>
+               <gmd:result gco:nilReason="unknown"/>
+            </gmd:DQ_ConceptualConsistency>
+         </gmd:report>
+         <gmd:report>
+            <gmd:DQ_CompletenessOmission>
+               <gmd:evaluationMethodDescription>
+                  <gco:CharacterString>Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.</gco:CharacterString>
+               </gmd:evaluationMethodDescription>
+               <gmd:result gco:nilReason="unknown"/>
+            </gmd:DQ_CompletenessOmission>
+         </gmd:report>
+         <gmd:report>
+            <gmd:DQ_CompletenessCommission>
+               <gmd:evaluationMethodDescription>
+                  <gco:CharacterString>Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.</gco:CharacterString>
+               </gmd:evaluationMethodDescription>
+               <gmd:result gco:nilReason="unknown"/>
+            </gmd:DQ_CompletenessCommission>
+         </gmd:report>
+      </gmd:DQ_DataQuality>
+   </gmd:dataQualityInfo>
+   <gmd:metadataMaintenance>
+      <gmd:MD_MaintenanceInformation>
+         <gmd:maintenanceAndUpdateFrequency>
+            <gmd:MD_MaintenanceFrequencyCode codeList="http://www.isotc211.org/2005/resources/Codelist/gmxCodelists.xml#MD_MaintenanceFrequencyCode"
+                                             codeListValue="notPlanned">notPlanned</gmd:MD_MaintenanceFrequencyCode>
+         </gmd:maintenanceAndUpdateFrequency>
+         <gmd:maintenanceNote>
+            <gco:CharacterString>This was transformed from the Census Bureau Geospatial Product Metadata Content Standard.</gco:CharacterString>
+         </gmd:maintenanceNote>
+      </gmd:MD_MaintenanceInformation>
+   </gmd:metadataMaintenance>
+</gmi:MI_Metadata>