diff --git a/_delphi_utils_python/data_proc/geomap/chng_county_groups.csv b/_delphi_utils_python/data_proc/geomap/chng_county_groups.csv
index c09ace96c..c754eccb7 100644
--- a/_delphi_utils_python/data_proc/geomap/chng_county_groups.csv
+++ b/_delphi_utils_python/data_proc/geomap/chng_county_groups.csv
@@ -1,402 +1,402 @@
-state_fips,fips_list,county1,county2,county3,county4,county5,county6,county7,county8,group
-1,01063|01065,01063,01065,,,,,,,1
-1,01105|01047,01105,01047,,,,,,,2
-4,04011|04009,04011,04009,,,,,,,1
-5,05025|05013|05011,05025,05013,05011,,,,,,1
-5,05039|05053,05039,05053,,,,,,,2
-5,05073|05091,05073,05091,,,,,,,3
-5,05077|05123,05077,05123,,,,,,,4
-5,05095|05117,05095,05117,,,,,,,5
-5,05097|05109,05097,05109,,,,,,,6
-5,05099|05057,05099,05057,,,,,,,7
-5,05101|05009,05101,05009,,,,,,,8
-5,05129|05089,05129,05089,,,,,,,9
-5,05147|05067,05147,05067,,,,,,,10
-6,06003|06109,06003,06109,,,,,,,1
-6,06049|06035,06049,06035,,,,,,,2
-6,06091|06057,06091,06057,,,,,,,3
-8,08011|08061|08009|08099,08011,08061,08009,08099,,,,,1
-8,08017|08063|08125,08017,08063,08125,,,,,,2
-8,08019|08047,08019,08047,,,,,,,3
-8,08023|08003,08023,08003,,,,,,,4
-8,08025|08089,08025,08089,,,,,,,5
-8,08027|08043,08027,08043,,,,,,,6
-8,08053|08111|08091|08033|08113|08085,08053,08111,08091,08033,08113,08085,,,7
-8,08055|08101,08055,08101,,,,,,,8
-8,08057|08049,08057,08049,,,,,,,9
-8,08065|08015,08065,08015,,,,,,,10
-8,08073|08039,08073,08039,,,,,,,11
-8,08079|08007,08079,08007,,,,,,,12
-8,08095|08115|08075,08095,08115,08075,,,,,,13
-8,08103|08045,08103,08045,,,,,,,14
-8,08109|08021|08105,08109,08021,08105,,,,,,15
-8,08121|08087,08121,08087,,,,,,,16
-12,12067|12121,12067,12121,,,,,,,1
-12,12077|12037,12077,12037,,,,,,,2
-13,13003|13069,13003,13069,,,,,,,1
-13,13007|13205,13007,13205,,,,,,,2
-13,13061|13239|13037|13243,13061,13239,13037,13243,,,,,3
-13,13065|13101,13065,13101,,,,,,,4
-13,13125|13301|13189,13125,13301,13189,,,,,,5
-13,13155|13017,13155,13017,,,,,,,6
-13,13165|13033,13165,13033,,,,,,,7
-13,13167|13303,13167,13303,,,,,,,8
-13,13181|13317,13181,13317,,,,,,,9
-13,13197|13249,13197,13249,,,,,,,10
-13,13201|13099,13201,13099,,,,,,,11
-13,13209|13279,13209,13279,,,,,,,12
-13,13253|13087,13253,13087,,,,,,,13
-13,13259|13307|13053,13259,13307,13053,,,,,,14
-13,13263|13293,13263,13293,,,,,,,15
-13,13265|13133,13265,13133,,,,,,,16
-13,13269|13193,13269,13193,,,,,,,17
-13,13273|13177,13273,13177,,,,,,,18
-13,13283|13107,13283,13107,,,,,,,19
-13,13287|13081,13287,13081,,,,,,,20
-13,13289|13023,13289,13023,,,,,,,21
-13,13309|13271,13309,13271,,,,,,,22
-13,13315|13235,13315,13235,,,,,,,23
-13,13319|13141|13009,13319,13141,13009,,,,,,24
-16,16003|16087,16003,16087,,,,,,,1
-16,16009|16057,16009,16057,,,,,,,2
-16,16015|16045,16015,16045,,,,,,,3
-16,16025|16047,16025,16047,,,,,,,4
-16,16029|16007|16041,16029,16007,16041,,,,,,5
-16,16033|16023|16051,16033,16023,16051,,,,,,6
-16,16035|16079,16035,16079,,,,,,,7
-16,16037|16059,16037,16059,,,,,,,8
-16,16061|16069,16061,16069,,,,,,,9
-16,16063|16053,16063,16053,,,,,,,10
-16,16071|16077,16071,16077,,,,,,,11
-17,17003|17153,17003,17153,,,,,,,1
-17,17009|17169,17009,17169,,,,,,,2
-17,17013|17083,17013,17083,,,,,,,3
-17,17047|17185,17047,17185,,,,,,,4
-17,17059|17069|17165,17059,17069,17165,,,,,,5
-17,17065|17193,17065,17193,,,,,,,6
-17,17071|17187,17071,17187,,,,,,,7
-17,17079|17035,17079,17035,,,,,,,8
-17,17151|17127,17151,17127,,,,,,,9
-17,17155|17123,17155,17123,,,,,,,10
-17,17171|17137,17171,17137,,,,,,,11
-17,17175|17143,17175,17143,,,,,,,12
-18,18007|18171,18007,18171,,,,,,,1
-18,18115|18155,18115,18155,,,,,,,2
-18,18161|18041,18161,18041,,,,,,,3
-19,19001|19077,19001,19077,,,,,,,1
-19,19003|19173,19003,19173,,,,,,,2
-19,19009|19029,19009,19029,,,,,,,3
-19,19025|19151,19025,19151,,,,,,,4
-19,19039|19053,19039,19053,,,,,,,5
-19,19051|19179,19051,19179,,,,,,,6
-19,19063|19147,19063,19147,,,,,,,7
-19,19071|19129,19071,19129,,,,,,,8
-19,19089|19037,19089,19037,,,,,,,9
-19,19091|19073|19187,19091,19073,19187,,,,,,10
-19,19093|19035,19093,19035,,,,,,,11
-19,19117|19185,19117,19185,,,,,,,12
-19,19133|19193,19133,19193,,,,,,,13
-19,19135|19007,19135,19007,,,,,,,14
-19,19143|19141,19143,19141,,,,,,,15
-19,19159|19175,19159,19175,,,,,,,16
-19,19177|19101,19177,19101,,,,,,,17
-19,19195|19033,19195,19033,,,,,,,18
-20,20003|20001,20003,20001,,,,,,,1
-20,20017|20127|20061,20017,20127,20061,,,,,,2
-20,20023|20181|20199,20023,20181,20199,,,,,,3
-20,20025|20057,20025,20057,,,,,,,4
-20,20039|20179|20137,20039,20179,20137,,,,,,5
-20,20043|20013|20005,20043,20013,20005,,,,,,6
-20,20053|20105|20159,20053,20105,20159,,,,,,7
-20,20063|20101|20171|20109,20063,20101,20171,20109,,,,,8
-20,20065|20195|20051,20065,20195,20051,,,,,,9
-20,20069|20055,20069,20055,,,,,,,10
-20,20071|20203|20093|20075|20187,20071,20203,20093,20075,20187,,,,11
-20,20073|20031|20207,20073,20031,20207,,,,,,12
-20,20077|20095,20077,20095,,,,,,,13
-20,20083|20135|20165|20145,20083,20135,20165,20145,,,,,14
-20,20107|20121,20107,20121,,,,,,,15
-20,20117|20149,20117,20149,,,,,,,16
-20,20119|20081|20175,20119,20081,20175,,,,,,17
-20,20129|20067|20189,20129,20067,20189,,,,,,18
-20,20147|20163,20147,20163,,,,,,,19
-20,20153|20193,20153,20193,,,,,,,20
-20,20157|20029|20143,20157,20029,20143,,,,,,21
-20,20167|20009,20167,20009,,,,,,,22
-20,20183|20089|20123|20141,20183,20089,20123,20141,,,,,23
-20,20185|20033|20097|20047|20007|20151,20185,20033,20097,20047,20007,20151,,,24
-20,20197|20177,20197,20177,,,,,,,25
-20,20201|20027|20161,20201,20027,20161,,,,,,26
-20,20205|20019|20049|20125,20205,20019,20049,20125,,,,,27
-21,21007|21039,21007,21039,,,,,,,1
-21,21023|21201,21023,21201,,,,,,,2
-21,21055|21139,21055,21139,,,,,,,3
-21,21057|21053,21057,21053,,,,,,,4
-21,21063|21043,21063,21043,,,,,,,5
-21,21075|21105,21075,21105,,,,,,,6
-21,21077|21187,21077,21187,,,,,,,7
-21,21129|21189,21129,21189,,,,,,,8
-21,21143|21033,21143,21033,,,,,,,9
-21,21149|21091|21059,21149,21091,21059,,,,,,10
-21,21165|21237,21165,21237,,,,,,,11
-21,21169|21087,21169,21087,,,,,,,12
-21,21181|21017,21181,21017,,,,,,,13
-21,21223|21041,21223,21041,,,,,,,14
-22,22021|22073,22021,22073,,,,,,,1
-22,22023|22019,22023,22019,,,,,,,2
-22,22035|22123,22035,22123,,,,,,,3
-22,22081|22013,22081,22013,,,,,,,4
-22,22107|22041,22107,22041,,,,,,,5
-26,26003|26153,26003,26153,,,,,,,1
-26,26083|26013|26061,26083,26013,26061,,,,,,2
-26,26095|26097,26095,26097,,,,,,,3
-26,26119|26135,26119,26135,,,,,,,4
-26,26131|26053,26131,26053,,,,,,,5
-27,27029|27087,27029,27087,,,,,,,1
-27,27031|27075,27031,27075,,,,,,,2
-27,27051|27011|27155|27149,27051,27011,27155,27149,,,,,3
-27,27069|27089,27069,27089,,,,,,,4
-27,27073|27173,27073,27173,,,,,,,5
-27,27077|27007,27077,27007,,,,,,,6
-27,27081|27117,27081,27117,,,,,,,7
-27,27125|27113,27125,27113,,,,,,,8
-27,27133|27101|27105,27133,27101,27105,,,,,,9
-27,27151|27023,27151,27023,,,,,,,10
-27,27167|27107|27027,27167,27107,27027,,,,,,11
-28,28009|28139,28009,28139,,,,,,,1
-28,28019|28155,28019,28155,,,,,,,2
-28,28021|28063,28021,28063,,,,,,,3
-28,28037|28005,28037,28005,,,,,,,4
-28,28055|28125|28053|28163,28055,28125,28053,28163,,,,,5
-28,28069|28075,28069,28075,,,,,,,6
-28,28119|28027,28119,28027,,,,,,,7
-28,28157|28001,28157,28001,,,,,,,8
-29,29005|29087|29147,29005,29087,29147,,,,,,1
-29,29025|29177,29025,29177,,,,,,,2
-29,29033|29117,29033,29117,,,,,,,3
-29,29035|29181,29035,29181,,,,,,,4
-29,29041|29115,29041,29115,,,,,,,5
-29,29045|29111,29045,29111,,,,,,,6
-29,29057|29039,29057,29039,,,,,,,7
-29,29061|29081,29061,29081,,,,,,,8
-29,29075|29227|29063,29075,29227,29063,,,,,,9
-29,29085|29167,29085,29167,,,,,,,10
-29,29103|29199|29197,29103,29199,29197,,,,,,11
-29,29125|29151,29125,29151,,,,,,,12
-29,29129|29079,29129,29079,,,,,,,13
-29,29137|29205,29137,29205,,,,,,,14
-29,29153|29067,29153,29067,,,,,,,15
-29,29171|29211,29171,29211,,,,,,,16
-29,29179|29093,29179,29093,,,,,,,17
-29,29185|29083,29185,29083,,,,,,,18
-29,29203|29065,29203,29065,,,,,,,19
-30,30005|30071,30005,30071,,,,,,,1
-30,30007|30043,30007,30043,,,,,,,2
-30,30015|30041,30015,30041,,,,,,,3
-30,30023|30001|30093,30023,30001,30093,,,,,,4
-30,30037|30107|30097|30095,30037,30107,30097,30095,,,,,5
-30,30039|30077,30039,30077,,,,,,,6
-30,30045|30059|30013,30045,30059,30013,,,,,,7
-30,30051|30101|30073,30051,30101,30073,,,,,,8
-30,30055|30079|30011|30025|30109|30021,30055,30079,30011,30025,30109,30021,,,9
-30,30057|30031,30057,30031,,,,,,,10
-30,30061|30089,30061,30089,,,,,,,11
-30,30065|30111,30065,30111,,,,,,,12
-30,30069|30027,30069,30027,,,,,,,13
-30,30075|30017,30075,30017,,,,,,,14
-30,30099|30049,30099,30049,,,,,,,15
-30,30103|30033|30087,30103,30033,30087,,,,,,16
-30,30105|30091|30019|30085,30105,30091,30019,30085,,,,,17
-31,31003|31011,31003,31011,,,,,,,1
-31,31015|31009|31017|31149|31103|31115|31071|31089,31015,31009,31017,31149,31103,31115,31071,31089,2
-31,31021|31177,31021,31177,,,,,,,3
-31,31023|31037,31023,31037,,,,,,,4
-31,31027|31051,31027,31051,,,,,,,5
-31,31029|31057|31085|31087|31005|31075|31101|31135,31029,31057,31085,31087,31005,31075,31101,31135,6
-31,31031|31091|31171|31117|31113|31111,31031,31091,31171,31117,31113,31111,,,7
-31,31035|31129,31035,31129,,,,,,,8
-31,31039|31173,31039,31173,,,,,,,9
-31,31059|31169,31059,31169,,,,,,,10
-31,31063|31145,31063,31145,,,,,,,11
-31,31095|31151,31095,31151,,,,,,,12
-31,31097|31133|31131,31097,31133,31131,,,,,,13
-31,31107|31139,31107,31139,,,,,,,14
-31,31123|31049|31069|31033,31123,31049,31069,31033,,,,,15
-31,31125|31081|31121,31125,31081,31121,,,,,,16
-31,31127|31147,31127,31147,,,,,,,17
-31,31137|31065|31073|31083,31137,31065,31073,31083,,,,,18
-31,31143|31185,31143,31185,,,,,,,19
-31,31161|31045|31013,31161,31045,31013,,,,,,20
-31,31165|31105|31007|31157,31165,31105,31007,31157,,,,,21
-31,31167|31179,31167,31179,,,,,,,22
-31,31175|31077|31183|31093|31163,31175,31077,31183,31093,31163,,,,23
-31,31181|31061|31099|31001,31181,31061,31099,31001,,,,,24
-32,32009|32021|32019,32009,32021,32019,,,,,,1
-32,32017|32003,32017,32003,,,,,,,2
-32,32027|32011|32015|32001,32027,32011,32015,32001,,,,,3
-32,32029|32510,32029,32510,,,,,,,4
-32,32033|32007,32033,32007,,,,,,,5
-35,35003|35006,35003,35006,,,,,,,1
-35,35021|35059|35007,35021,35059,35007,,,,,,2
-35,35023|35017,35023,35017,,,,,,,3
-35,35033|35011|35019|35047,35033,35011,35019,35047,,,,,4
-35,35037|35009,35037,35009,,,,,,,5
-36,36041|36043,36041,36043,,,,,,,1
-37,37075|37043,37075,37043,,,,,,,1
-37,37095|37177|37187,37095,37177,37187,,,,,,2
-38,38005|38103,38005,38103,,,,,,,1
-38,38009|38049,38009,38049,,,,,,,2
-38,38013|38061,38013,38061,,,,,,,3
-38,38019|38071,38019,38071,,,,,,,4
-38,38021|38045|38003,38021,38045,38003,,,,,,5
-38,38023|38105,38023,38105,,,,,,,6
-38,38025|38007|38033|38087|38011|38001|38041|38089,38025,38007,38033,38087,38011,38001,38041,38089,7
-38,38039|38063|38091|38035,38039,38063,38091,38035,,,,,8
-38,38043|38047|38051|38027|38031|38093,38043,38047,38051,38027,38031,38093,,,9
-38,38057|38055|38065,38057,38055,38065,,,,,,10
-38,38067|38099,38067,38099,,,,,,,11
-38,38073|38081|38077,38073,38081,38077,,,,,,12
-38,38075|38101,38075,38101,,,,,,,13
-38,38083|38029|38015,38083,38029,38015,,,,,,14
-38,38085|38037|38059,38085,38037,38059,,,,,,15
-38,38095|38069|38079,38095,38069,38079,,,,,,16
-38,38097|38017,38097,38017,,,,,,,17
-40,40007|40059|40045,40007,40059,40045,,,,,,1
-40,40011|40073,40011,40073,,,,,,,2
-40,40025|40139,40025,40139,,,,,,,3
-40,40029|40005,40029,40005,,,,,,,4
-40,40043|40039,40043,40039,,,,,,,5
-40,40053|40047,40053,40047,,,,,,,6
-40,40055|40057|40065,40055,40057,40065,,,,,,7
-40,40067|40137,40067,40137,,,,,,,8
-40,40075|40149,40075,40149,,,,,,,9
-40,40085|40019,40085,40019,,,,,,,10
-40,40129|40009,40129,40009,,,,,,,11
-40,40141|40033|40031,40141,40033,40031,,,,,,12
-40,40151|40003|40093,40151,40003,40093,,,,,,13
-41,41021|41055|41065,41021,41055,41065,,,,,,1
-41,41023|41069|41049,41023,41069,41049,,,,,,2
-41,41025|41045,41025,41045,,,,,,,3
-41,41037|41035,41037,41035,,,,,,,4
-41,41063|41061,41063,41061,,,,,,,5
-42,42023|42105,42023,42105,,,,,,,1
-42,42053|42123,42053,42123,,,,,,,2
-42,42113|42015,42113,42015,,,,,,,3
-45,45005|45011,45005,45011,,,,,,,1
-45,45065|45047,45065,45047,,,,,,,2
-46,46007|46071|46055|46095,46007,46071,46055,46095,,,,,1
-46,46009|46067,46009,46067,,,,,,,2
-46,46015|46017|46053,46015,46017,46053,,,,,,3
-46,46023|46043,46023,46043,,,,,,,4
-46,46031|46041|46137,46031,46041,46137,,,,,,5
-46,46033|46047,46033,46047,,,,,,,6
-46,46039|46011,46039,46011,,,,,,,7
-46,46045|46089|46049|46021|46129|46107|46119,46045,46089,46049,46021,46129,46107,46119,,8
-46,46051|46109,46051,46109,,,,,,,9
-46,46057|46025|46037|46029,46057,46025,46037,46029,,,,,10
-46,46061|46097|46087,46061,46097,46087,,,,,,11
-46,46063|46019,46063,46019,,,,,,,12
-46,46077|46079,46077,46079,,,,,,,13
-46,46085|46075|46117|46059|46069|46065,46085,46075,46117,46059,46069,46065,,,14
-46,46091|46013,46091,46013,,,,,,,15
-46,46101|46099,46101,46099,,,,,,,16
-46,46105|46093,46105,46093,,,,,,,17
-46,46111|46003|46073|46035,46111,46003,46073,46035,,,,,18
-46,46115|46005,46115,46005,,,,,,,19
-46,46121|46123,46121,46123,,,,,,,20
-46,46125|46135,46125,46135,,,,,,,21
-47,47027|47087,47027,47087,,,,,,,1
-47,47067|47073,47067,47073,,,,,,,2
-47,47083|47161,47083,47161,,,,,,,3
-47,47095|47045,47095,47045,,,,,,,4
-47,47127|47003,47127,47003,,,,,,,5
-47,47135|47039,47135,47039,,,,,,,6
-47,47137|47049,47137,47049,,,,,,,7
-47,47169|47111,47169,47111,,,,,,,8
-47,47175|47185,47175,47185,,,,,,,9
-48,48009|48485,48009,48485,,,,,,,1
-48,48011|48065|48233,48011,48065,48233,,,,,,2
-48,48017|48079,48017,48079,,,,,,,3
-48,48023|48447|48275|48207,48023,48447,48275,48207,,,,,4
-48,48043|48377,48043,48377,,,,,,,5
-48,48045|48153|48345|48107,48045,48153,48345,48107,,,,,6
-48,48047|48247,48047,48247,,,,,,,7
-48,48069|48279,48069,48279,,,,,,,8
-48,48081|48353,48081,48353,,,,,,,9
-48,48083|48049,48083,48049,,,,,,,10
-48,48095|48327|48307,48095,48327,48307,,,,,,11
-48,48103|48135,48103,48135,,,,,,,12
-48,48105|48383|48235|48461,48105,48383,48235,48461,,,,,13
-48,48109|48243|48389,48109,48243,48389,,,,,,14
-48,48111|48205,48111,48205,,,,,,,15
-48,48119|48223,48119,48223,,,,,,,16
-48,48125|48263|48169|48415,48125,48263,48169,48415,,,,,17
-48,48137|48385|48463,48137,48385,48463,,,,,,18
-48,48151|48433|48253,48151,48433,48253,,,,,,19
-48,48173|48033|48227,48173,48033,48227,,,,,,20
-48,48175|48025,48175,48025,,,,,,,21
-48,48191|48101|48269|48155|48197|48075|48087,48191,48101,48269,48155,48197,48075,48087,,22
-48,48193|48099,48193,48099,,,,,,,23
-48,48195|48421|48341,48195,48421,48341,,,,,,24
-48,48229|48141,48229,48141,,,,,,,25
-48,48237|48363,48237,48363,,,,,,,26
-48,48261|48489,48261,48489,,,,,,,27
-48,48267|48319|48265,48267,48319,48265,,,,,,28
-48,48271|48323,48271,48323,,,,,,,29
-48,48283|48163,48283,48163,,,,,,,30
-48,48295|48357,48295,48357,,,,,,,31
-48,48301|48495|48475,48301,48495,48475,,,,,,32
-48,48305|48303,48305,48303,,,,,,,33
-48,48311|48297,48311,48297,,,,,,,34
-48,48317|48115,48317,48115,,,,,,,35
-48,48333|48411,48333,48411,,,,,,,36
-48,48335|48431,48335,48431,,,,,,,37
-48,48369|48359|48117,48369,48359,48117,,,,,,38
-48,48391|48007,48391,48007,,,,,,,39
-48,48393|48211|48483|48129|48179,48393,48211,48483,48129,48179,,,,40
-48,48405|48403,48405,48403,,,,,,,41
-48,48413|48435|48451,48413,48435,48451,,,,,,42
-48,48417|48059,48417,48059,,,,,,,43
-48,48425|48221,48425,48221,,,,,,,44
-48,48429|48133,48429,48133,,,,,,,45
-48,48437|48381,48437,48381,,,,,,,46
-48,48443|48371,48443,48371,,,,,,,47
-48,48501|48165,48501,48165,,,,,,,48
-49,49001|49021,49001,49021,,,,,,,1
-49,49009|49047,49009,49047,,,,,,,2
-49,49019|49015,49019,49015,,,,,,,3
-49,49025|49031|49017|49055|49041,49025,49031,49017,49055,49041,,,,4
-49,49033|49005,49033,49005,,,,,,,5
-50,50009|50005,50009,50005,,,,,,,1
-50,50013|50011,50013,50011,,,,,,,2
-51,51017|51091|51163,51017,51091,51163,,,,,,1
-51,51021|51197,51021,51197,,,,,,,2
-51,51036|51127,51036,51127,,,,,,,3
-51,51045|51161,51045,51161,,,,,,,4
-51,51049|51029,51049,51029,,,,,,,5
-51,51097|51101,51097,51101,,,,,,,6
-51,51115|51073,51115,51073,,,,,,,7
-51,51157|51187,51157,51187,,,,,,,8
-51,51159|51193,51159,51193,,,,,,,9
-51,51181|51095,51181,51095,,,,,,,10
-53,53013|53023|53003,53013,53023,53003,,,,,,1
-53,53019|53065,53019,53065,,,,,,,2
-53,53069|53049,53069,53049,,,,,,,3
-54,54013|54087,54013,54087,,,,,,,1
-54,54015|54067,54015,54067,,,,,,,2
-54,54017|54095,54017,54095,,,,,,,3
-54,54021|54007,54021,54007,,,,,,,4
-54,54073|54085,54073,54085,,,,,,,5
-54,54075|54101,54075,54101,,,,,,,6
-54,54093|54071|54023,54093,54071,54023,,,,,,7
-54,54105|54107,54105,54107,,,,,,,8
-55,55037|55041,55037,55041,,,,,,,1
-55,55051|55003,55051,55003,,,,,,,2
-55,55078|55115,55078,55115,,,,,,,3
-55,55091|55011,55091,55011,,,,,,,4
-56,56011|56045,56011,56045,,,,,,,1
-56,56017|56013,56017,56013,,,,,,,2
-56,56019|56033,56019,56033,,,,,,,3
-56,56031|56027|56015,56031,56027,56015,,,,,,4
-56,56035|56023,56035,56023,,,,,,,5
-56,56043|56003,56043,56003,,,,,,,6
+state_fips,fips_list,group
+1,01063|01065,1
+1,01105|01047,2
+4,04011|04009,1
+5,05025|05013|05011,1
+5,05039|05053,2
+5,05073|05091,3
+5,05077|05123,4
+5,05095|05117,5
+5,05097|05109,6
+5,05099|05057,7
+5,05101|05009,8
+5,05129|05089,9
+5,05147|05067,10
+6,06003|06109,1
+6,06049|06035,2
+6,06091|06057,3
+8,08011|08061|08009|08099,1
+8,08017|08063|08125,2
+8,08019|08047,3
+8,08023|08003,4
+8,08025|08089,5
+8,08027|08043,6
+8,08053|08111|08091|08033|08113|08085,7
+8,08055|08101,8
+8,08057|08049,9
+8,08065|08015,10
+8,08073|08039,11
+8,08079|08007,12
+8,08095|08115|08075,13
+8,08103|08045,14
+8,08109|08021|08105,15
+8,08121|08087,16
+12,12067|12121,1
+12,12077|12037,2
+13,13003|13069,1
+13,13007|13205,2
+13,13061|13239|13037|13243,3
+13,13065|13101,4
+13,13125|13301|13189,5
+13,13155|13017,6
+13,13165|13033,7
+13,13167|13303,8
+13,13181|13317,9
+13,13197|13249,10
+13,13201|13099,11
+13,13209|13279,12
+13,13253|13087,13
+13,13259|13307|13053,14
+13,13263|13293,15
+13,13265|13133,16
+13,13269|13193,17
+13,13273|13177,18
+13,13283|13107,19
+13,13287|13081,20
+13,13289|13023,21
+13,13309|13271,22
+13,13315|13235,23
+13,13319|13141|13009,24
+16,16003|16087,1
+16,16009|16057,2
+16,16015|16045,3
+16,16025|16047,4
+16,16029|16007|16041,5
+16,16033|16023|16051,6
+16,16035|16079,7
+16,16037|16059,8
+16,16061|16069,9
+16,16063|16053,10
+16,16071|16077,11
+17,17003|17153,1
+17,17009|17169,2
+17,17013|17083,3
+17,17047|17185,4
+17,17059|17069|17165,5
+17,17065|17193,6
+17,17071|17187,7
+17,17079|17035,8
+17,17151|17127,9
+17,17155|17123,10
+17,17171|17137,11
+17,17175|17143,12
+18,18007|18171,1
+18,18115|18155,2
+18,18161|18041,3
+19,19001|19077,1
+19,19003|19173,2
+19,19009|19029,3
+19,19025|19151,4
+19,19039|19053,5
+19,19051|19179,6
+19,19063|19147,7
+19,19071|19129,8
+19,19089|19037,9
+19,19091|19073|19187,10
+19,19093|19035,11
+19,19117|19185,12
+19,19133|19193,13
+19,19135|19007,14
+19,19143|19141,15
+19,19159|19175,16
+19,19177|19101,17
+19,19195|19033,18
+20,20003|20001,1
+20,20017|20127|20061,2
+20,20023|20181|20199,3
+20,20025|20057,4
+20,20039|20179|20137,5
+20,20043|20013|20005,6
+20,20053|20105|20159,7
+20,20063|20101|20171|20109,8
+20,20065|20195|20051,9
+20,20069|20055,10
+20,20071|20203|20093|20075|20187,11
+20,20073|20031|20207,12
+20,20077|20095,13
+20,20083|20135|20165|20145,14
+20,20107|20121,15
+20,20117|20149,16
+20,20119|20081|20175,17
+20,20129|20067|20189,18
+20,20147|20163,19
+20,20153|20193,20
+20,20157|20029|20143,21
+20,20167|20009,22
+20,20183|20089|20123|20141,23
+20,20185|20033|20097|20047|20007|20151,24
+20,20197|20177,25
+20,20201|20027|20161,26
+20,20205|20019|20049|20125,27
+21,21007|21039,1
+21,21023|21201,2
+21,21055|21139,3
+21,21057|21053,4
+21,21063|21043,5
+21,21075|21105,6
+21,21077|21187,7
+21,21129|21189,8
+21,21143|21033,9
+21,21149|21091|21059,10
+21,21165|21237,11
+21,21169|21087,12
+21,21181|21017,13
+21,21223|21041,14
+22,22021|22073,1
+22,22023|22019,2
+22,22035|22123,3
+22,22081|22013,4
+22,22107|22041,5
+26,26003|26153,1
+26,26083|26013|26061,2
+26,26095|26097,3
+26,26119|26135,4
+26,26131|26053,5
+27,27029|27087,1
+27,27031|27075,2
+27,27051|27011|27155|27149,3
+27,27069|27089,4
+27,27073|27173,5
+27,27077|27007,6
+27,27081|27117,7
+27,27125|27113,8
+27,27133|27101|27105,9
+27,27151|27023,10
+27,27167|27107|27027,11
+28,28009|28139,1
+28,28019|28155,2
+28,28021|28063,3
+28,28037|28005,4
+28,28055|28125|28053|28163,5
+28,28069|28075,6
+28,28119|28027,7
+28,28157|28001,8
+29,29005|29087|29147,1
+29,29025|29177,2
+29,29033|29117,3
+29,29035|29181,4
+29,29041|29115,5
+29,29045|29111,6
+29,29057|29039,7
+29,29061|29081,8
+29,29075|29227|29063,9
+29,29085|29167,10
+29,29103|29199|29197,11
+29,29125|29151,12
+29,29129|29079,13
+29,29137|29205,14
+29,29153|29067,15
+29,29171|29211,16
+29,29179|29093,17
+29,29185|29083,18
+29,29203|29065,19
+30,30005|30071,1
+30,30007|30043,2
+30,30015|30041,3
+30,30023|30001|30093,4
+30,30037|30107|30097|30095,5
+30,30039|30077,6
+30,30045|30059|30013,7
+30,30051|30101|30073,8
+30,30055|30079|30011|30025|30109|30021,9
+30,30057|30031,10
+30,30061|30089,11
+30,30065|30111,12
+30,30069|30027,13
+30,30075|30017,14
+30,30099|30049,15
+30,30103|30033|30087,16
+30,30105|30091|30019|30085,17
+31,31003|31011,1
+31,31015|31009|31017|31149|31103|31115|31071|31089,2
+31,31021|31177,3
+31,31023|31037,4
+31,31027|31051,5
+31,31029|31057|31085|31087|31005|31075|31101|31135,6
+31,31031|31091|31171|31117|31113|31111,7
+31,31035|31129,8
+31,31039|31173,9
+31,31059|31169,10
+31,31063|31145,11
+31,31095|31151,12
+31,31097|31133|31131,13
+31,31107|31139,14
+31,31123|31049|31069|31033,15
+31,31125|31081|31121,16
+31,31127|31147,17
+31,31137|31065|31073|31083,18
+31,31143|31185,19
+31,31161|31045|31013,20
+31,31165|31105|31007|31157,21
+31,31167|31179,22
+31,31175|31077|31183|31093|31163,23
+31,31181|31061|31099|31001,24
+32,32009|32021|32019,1
+32,32017|32003,2
+32,32027|32011|32015|32001,3
+32,32029|32510,4
+32,32033|32007,5
+35,35003|35006,1
+35,35021|35059|35007,2
+35,35023|35017,3
+35,35033|35011|35019|35047,4
+35,35037|35009,5
+36,36041|36043,1
+37,37075|37043,1
+37,37095|37177|37187,2
+38,38005|38103,1
+38,38009|38049,2
+38,38013|38061,3
+38,38019|38071,4
+38,38021|38045|38003,5
+38,38023|38105,6
+38,38025|38007|38033|38087|38011|38001|38041|38089,7
+38,38039|38063|38091|38035,8
+38,38043|38047|38051|38027|38031|38093,9
+38,38057|38055|38065,10
+38,38067|38099,11
+38,38073|38081|38077,12
+38,38075|38101,13
+38,38083|38029|38015,14
+38,38085|38037|38059,15
+38,38095|38069|38079,16
+38,38097|38017,17
+40,40007|40059|40045,1
+40,40011|40073,2
+40,40025|40139,3
+40,40029|40005,4
+40,40043|40039,5
+40,40053|40047,6
+40,40055|40057|40065,7
+40,40067|40137,8
+40,40075|40149,9
+40,40085|40019,10
+40,40129|40009,11
+40,40141|40033|40031,12
+40,40151|40003|40093,13
+41,41021|41055|41065,1
+41,41023|41069|41049,2
+41,41025|41045,3
+41,41037|41035,4
+41,41063|41061,5
+42,42023|42105,1
+42,42053|42123,2
+42,42113|42015,3
+45,45005|45011,1
+45,45065|45047,2
+46,46007|46071|46055|46095,1
+46,46009|46067,2
+46,46015|46017|46053,3
+46,46023|46043,4
+46,46031|46041|46137,5
+46,46033|46047,6
+46,46039|46011,7
+46,46045|46089|46049|46021|46129|46107|46119,8
+46,46051|46109,9
+46,46057|46025|46037|46029,10
+46,46061|46097|46087,11
+46,46063|46019,12
+46,46077|46079,13
+46,46085|46075|46117|46059|46069|46065,14
+46,46091|46013,15
+46,46101|46099,16
+46,46105|46093,17
+46,46111|46003|46073|46035,18
+46,46115|46005,19
+46,46121|46123,20
+46,46125|46135,21
+47,47027|47087,1
+47,47067|47073,2
+47,47083|47161,3
+47,47095|47045,4
+47,47127|47003,5
+47,47135|47039,6
+47,47137|47049,7
+47,47169|47111,8
+47,47175|47185,9
+48,48009|48485,1
+48,48011|48065|48233,2
+48,48017|48079,3
+48,48023|48447|48275|48207,4
+48,48043|48377,5
+48,48045|48153|48345|48107,6
+48,48047|48247,7
+48,48069|48279,8
+48,48081|48353,9
+48,48083|48049,10
+48,48095|48327|48307,11
+48,48103|48135,12
+48,48105|48383|48235|48461,13
+48,48109|48243|48389,14
+48,48111|48205,15
+48,48119|48223,16
+48,48125|48263|48169|48415,17
+48,48137|48385|48463,18
+48,48151|48433|48253,19
+48,48173|48033|48227,20
+48,48175|48025,21
+48,48191|48101|48269|48155|48197|48075|48087,22
+48,48193|48099,23
+48,48195|48421|48341,24
+48,48229|48141,25
+48,48237|48363,26
+48,48261|48489,27
+48,48267|48319|48265,28
+48,48271|48323,29
+48,48283|48163,30
+48,48295|48357,31
+48,48301|48495|48475,32
+48,48305|48303,33
+48,48311|48297,34
+48,48317|48115,35
+48,48333|48411,36
+48,48335|48431,37
+48,48369|48359|48117,38
+48,48391|48007,39
+48,48393|48211|48483|48129|48179,40
+48,48405|48403,41
+48,48413|48435|48451,42
+48,48417|48059,43
+48,48425|48221,44
+48,48429|48133,45
+48,48437|48381,46
+48,48443|48371,47
+48,48501|48165,48
+49,49001|49021,1
+49,49009|49047,2
+49,49019|49015,3
+49,49025|49031|49017|49055|49041,4
+49,49033|49005,5
+50,50009|50005,1
+50,50013|50011,2
+51,51017|51091|51163,1
+51,51021|51197,2
+51,51036|51127,3
+51,51045|51161,4
+51,51049|51029,5
+51,51097|51101,6
+51,51115|51073,7
+51,51157|51187,8
+51,51159|51193,9
+51,51181|51095,10
+53,53013|53023|53003,1
+53,53019|53065,2
+53,53069|53049,3
+54,54013|54087,1
+54,54015|54067,2
+54,54017|54095,3
+54,54021|54007,4
+54,54073|54085,5
+54,54075|54101,6
+54,54093|54071|54023,7
+54,54105|54107,8
+55,55037|55041,1
+55,55051|55003,2
+55,55078|55115,3
+55,55091|55011,4
+56,56011|56045,1
+56,56017|56013,2
+56,56019|56033,3
+56,56031|56027|56015,4
+56,56035|56023,5
+56,56043|56003,6
diff --git a/_delphi_utils_python/data_proc/geomap/geo_data_proc.py b/_delphi_utils_python/data_proc/geomap/geo_data_proc.py
index 2e4c1874b..d51f9b551 100755
--- a/_delphi_utils_python/data_proc/geomap/geo_data_proc.py
+++ b/_delphi_utils_python/data_proc/geomap/geo_data_proc.py
@@ -483,14 +483,15 @@ def derive_fips_chngfips_crosswalk():
     if not isfile(join(OUTPUT_DIR, FIPS_STATE_OUT_FILENAME)):
         derive_fips_state_crosswalk()
 
-    # County mapping file is derived from
-    # https://docs.google.com/spreadsheets/d/1PEce4CjjHbRM1Z5xEMNI6Xsq_b2kkCh0/edit#gid=871427657.
-    # We assign an incrementing integer to be the group id of each county
-    # grouping within the given state via:
-    #
-    # county_groups["group"] = (county_groups.groupby("state_fips").cumcount() + 1).astype("string")
-    county_groups = pd.read_csv(CHNG_COUNTY_GROUPS_FILE, dtype="string", index_col=False
-        ).drop(columns = "fips_list")
+    assign_county_groups()
+    county_groups = pd.read_csv(CHNG_COUNTY_GROUPS_FILE, dtype="string", index_col=False)
+    # Split list of county FIPS codes into separate columns.
+    county_groups = pd.concat(
+            [county_groups, county_groups.fips_list.str.split("|", expand=True)],
+            axis=1
+        ).drop(
+            columns = "fips_list"
+        )
 
     # Change to long format.
     county_groups = pd.melt(
@@ -548,6 +549,105 @@ def derive_chngfips_state_crosswalk():
     group_to_state.to_csv(join(OUTPUT_DIR, CHNGFIPS_STATE_OUT_FILENAME), index=False)
 
 
+def fetch_county_groups_spreadsheet():
+    # County mapping file is derived from
+    # https://docs.google.com/spreadsheets/d/1PEce4CjjHbRM1Z5xEMNI6Xsq_b2kkCh0/edit#gid=871427657
+    sheet_id = "1PEce4CjjHbRM1Z5xEMNI6Xsq_b2kkCh0"
+    sheet_name = "groupings"
+    # Request sheet in CSV format via tag in URL.
+    url = f"https://docs.google.com/spreadsheets/d/{sheet_id}/gviz/tq?tqx=out:csv&sheet={sheet_name}"
+
+    county_groups = pd.read_csv(
+            url, dtype="string", index_col=False
+        ).dropna(
+            how="all", axis=1
+        )
+    county_groups["state FIPS"] = county_groups["state FIPS"].astype(int)
+
+    # Counties belonging to each group are listed (as FIPS codes) in the "county
+    # FIPS grouping" column, concatenated and separated by the pipe "|".
+    new_names = {
+        "state FIPS": "state_fips",
+        "county FIPS grouping": "fips_list"
+    }
+
+    county_groups = county_groups.rename(
+            columns=new_names
+        )[new_names.values()]
+
+    return county_groups
+
+
+def assign_county_groups():
+    county_groups = fetch_county_groups_spreadsheet()
+
+    # If a county groups mapping file already exists in `data_proc/geomap`, we
+    # have to be careful to not reassign a group number to a different group.
+    # Group numbers must remain fixed, even if a given county group is no longer
+    # being used.
+    if isfile(CHNG_COUNTY_GROUPS_FILE):
+        old_county_groups = pd.read_csv(CHNG_COUNTY_GROUPS_FILE, dtype="string", index_col=False)
+        old_county_groups.group = old_county_groups.group.astype(int)
+        old_county_groups.state_fips = old_county_groups.state_fips.astype(int)
+
+        # Remove rows from county_groups if that `fips_list` value already
+        # exists in old_county_groups.
+        county_groups = county_groups[
+            ~county_groups.fips_list.isin(old_county_groups.fips_list)
+        ]
+
+        # If grouping file has no new rows, no need to process again.
+        if county_groups.empty:
+            return
+        # Grouping spreadsheet contains rows not seen in old, on-disk county
+        # groupings file. Combining the two is delicate. While the code below
+        # appears to work, it has not been formally tested and could be
+        # invalid for even small changes to the format of the input county
+        # groupings file.
+        else:
+            raise NotImplementedError(
+                "Can't combine old and new county groupings automatically, "
+                "code below is not tested or robust to changes in input format."
+                "We recommend manually working with the code below and the new"
+                "data in a REPL."
+            )
+
+        # Assign an incrementing integer to be the group id of each remaining
+        # county grouping within a state using the given sort order.
+        county_groups["group"] = county_groups.groupby("state_fips").cumcount() + 1
+
+        # Find max group number by state in old_county_groups, join on, and
+        # add max group number to group number.
+        max_group_by_state = old_county_groups.groupby(
+                "state_fips"
+            ).group.max(
+            ).reset_index(
+            ).rename(
+                columns = {"group": "max_group"}
+            )
+        county_groups = county_groups.join(
+                max_group_by_state.set_index("state_fips"),
+                how="left",
+                on="state_fips"
+            ).assign(
+                group = lambda x: x.group + x.max_group
+            ).drop(
+                ["max_group"], axis=1
+            )
+
+        # Combine old_county_groups and county_groups
+        county_groups = pd.concat([old_county_groups, county_groups])
+    else:
+        # Group numbers are 1-indexed.
+        county_groups["group"] = county_groups.groupby("state_fips").cumcount() + 1
+
+    county_groups.sort_values(
+            ["state_fips"], kind="stable"
+        ).to_csv(
+            CHNG_COUNTY_GROUPS_FILE, index=False
+        )
+
+
 def clear_dir(dir_path: str):
     for fname in listdir(dir_path):
         remove(join(dir_path, fname))