20240917
13581600
1.0
FALSE
municipios_pb
002
file://\\C0227\C$\Users\harlansilva\git\observatorio_pb\05_indicadoresFinais\indicadores_calculados.gdb
Local Area Network
Geographic
GCS_SIRGAS_2000
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>GEOGCS["GCS_SIRGAS_2000",DATUM["D_SIRGAS_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4674]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
FeatureClassToFeatureClass C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp C:\Users\harlansilva\git\observatorio_pb\05_indicadoresFinais\indicadores_calculados.gdb municipios_pb # "cod_municipio "cod_municipio" true true false 7 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,CD_MUN,-1,-1;nm_municipio "nm_municipio" true true false 50 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,NM_MUN,-1,-1;sigla_uf "sigla_uf" true true false 2 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,SIGLA_UF,-1,-1;area_km2 "area_km2" true true false 12 Float 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,AREA_KM2,-1,-1" #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\harlansilva\git\observatorio_pb\05_indicadoresFinais\indicadores_calculados.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>municipios_pb</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>cod_municipio_int</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
AddField municipios_pb qtd_eleitores LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb dens_demografica_km2_hab DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb bioma TEXT # # 100 # NULLABLE NON_REQUIRED #
AddField municipios_pb tx_crescimento_demografico_10_22 DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb nivel_hierarquico_rede_urbana TEXT # # 100 # NULLABLE NON_REQUIRED #
AddField municipios_pb nm_arranjo_populacional TEXT # # 100 # NULLABLE NON_REQUIRED #
AddField municipios_pb nm_regImediata TEXT # # 100 # NULLABLE NON_REQUIRED #
AddField municipios_pb nm_regIntermediaria TEXT # # 100 # NULLABLE NON_REQUIRED #
AddField municipios_pb idhm_2010 DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb dens_demografica_km2_hab DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_homens DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_mulheres DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_branca DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_preta DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_amarela DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_parda DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_indigena DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_0_6_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_7_10_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_11_14_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_15_19_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_20_29_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_30_49_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_50_64_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_acima_65_anos DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb tx_nao_alfabetizadas DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_quilombola_dentro_territorios LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_quilombola_fora_territorios LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_quilombola_total LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_indigena_dentro_terras LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_indigena_fora_terras LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb pop_indigena_total LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb total_domicilios_particulares LONG # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb dom_agua_RedeGeral DOUBLE # # # # NULLABLE NON_REQUIRED #
AddField municipios_pb dom_esgoto_Rede DOUBLE # # # # NULLABLE NON_REQUIRED #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WorkspaceConnectionString>DATABASE=C:\Users\ygonmeyer\Desktop\CODATA\20240924_indicadores_calculados\indicadores_calculados.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>municipios_pb</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" "<operationSequence><workflow><AlterField><field_name>cod_municipio</field_name><field_alias>Código do Município</field_alias><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence>"
AlterField "Limite Municipal" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Limite Municipal" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "População Residente" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "População Residente" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "População Residente" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "População Residente" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "População Residente" pop_residente_2022 # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField Eleitorado cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField Eleitorado nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField Eleitorado sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField Eleitorado area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField Eleitorado pop_residente_2022 # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField Eleitorado qtd_eleitores # Eleitores "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField Bioma cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField Bioma nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField Bioma sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField Bioma area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField Bioma bioma # Bioma Text 100 NULLABLE DO_NOT_CLEAR
AlterField "Rede Urbana" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Rede Urbana" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Rede Urbana" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Rede Urbana" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Rede Urbana" nivel_hierarquico_rede_urbana # "Nível Hierárquico Rede Urbana" Text 100 NULLABLE DO_NOT_CLEAR
AlterField "Região Imediata" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Região Imediata" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Região Imediata" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Região Imediata" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Região Imediata" nm_regImediata # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR
AlterField "Região Intermediária" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Região Intermediária" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Região Intermediária" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Região Intermediária" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Região Intermediária" nm_regIntermediaria # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR
AlterField "IDHM 2010" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "IDHM 2010" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "IDHM 2010" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "IDHM 2010" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "IDHM 2010" pop_residente_2022 # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "IDHM 2010" idhm_2010 # "IDH-M 2010" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" familias_CadUnico # "Famílias no CadÚnico" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" familias_PBF # "Famílias no PBF" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" PBF_valorMedio_beneficio # "Valor Médio do Benefício PBF" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Famílias CadÚnico" familias_PBFnoCadUnico_perc # "% de Famílias do PBF no CadÚnico" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" familias_CadUnico # "Famílias no CadÚnico" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" familias_PBF # "Famílias no PBF" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" PBF_valorMedio_beneficio # "Valor Médio do Benefício PBF" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Famílias Programa Bolsa Família" familias_PBFnoCadUnico_perc # "% de Famílias do PBF no CadÚnico" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" familias_CadUnico # "Famílias no CadÚnico" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" familias_PBF # "Famílias no PBF" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" PBF_valorMedio_beneficio # "Valor Médio do Benefício PBF" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Famílias no CadÚnico com Bolsa Família" familias_PBFnoCadUnico_perc # "% de Famílias do PBF no CadÚnico" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Religiosos" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Religiosos" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Religiosos" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Religiosos" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Religiosos" estab_religiosos # "Estabelecimentos Religiosos" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Saúde" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Saúde" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Saúde" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Saúde" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Saúde" estab_Saude # "Estabelecimentos de Saúde" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Educação" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Educação" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Educação" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Educação" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Estabelecimentos Educação" estab_Educacao # "Estabelecimentos de Educação" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Fundamental" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Fundamental" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Fundamental" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Fundamental" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Fundamental" escolas_Fund_publica # "Escolas de Ensino Fundamental Públicas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Fundamental" escolas_Fund_Privada # "Escolas de Ensino Fundamental Privadas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Fundamental" escolas_Fund_Total # "Total de Escolas de Ensino Fundamental" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Médio" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Médio" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Médio" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Médio" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Médio" escolas_Medio_Publica # "Escolas de Ensino Médio Públicas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Médio" escolas_Medio_Privada # "Escolas de Ensino Médio Privadas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Escolas Ensino Médio" escolas_Medio_Total # "Total de Escolas de Ensino Médio" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField Creches cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField Creches nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField Creches sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField Creches area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField Creches creche_Publica # "Creches Públicas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField Creches creche_Privada # "Creches Privadas" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField Creches creche_Total # "Total de Creches" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Creches 0 a 3" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Creches 0 a 3" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Creches 0 a 3" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Creches 0 a 3" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Creches 0 a 3" criancas_0a3_creche_perc # "% de Crianças de 0 a 3 Anos na Creche" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Pré Escola 4 a 6" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Pré Escola 4 a 6" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Pré Escola 4 a 6" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Pré Escola 4 a 6" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Pré Escola 4 a 6" criancas_4a6_preEscola_perc # "% de Crianças de 4 a 6 Anos na Pré-Escola" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
AlterField "Densidade Acesso à Internet" cod_municipio # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR
AlterField "Densidade Acesso à Internet" nm_municipio # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR
AlterField "Densidade Acesso à Internet" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR
AlterField "Densidade Acesso à Internet" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR
AlterField "Densidade Acesso à Internet" dens_AcessosInternet # "Densidade de Acessos à Internet" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
20240917
13581600
20240917
13581600
Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388
Estabelecimentos Saúde
CODATA
Saúde
Saude
Infraestrutura social
Indica o total de estabelecimentos de saúde, públicos e particulares, a partir dos endereços georreferenciados do Cadastro Nacional de Endereços para Fins Estatísticos.
Fonte: IBGE | Cadastro Nacional de Endereços para Fins Estatísticos
Ano 2022
File Geodatabase Feature Class
dataset
EPSG
6.11(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
municipios_pb
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
cod_municipio
cod_municipio
String
7
0
0
nm_municipio
nm_municipio
String
50
0
0
sigla_uf
sigla_uf
String
2
0
0
area_km2
area_km2
Single
4
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20240917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