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
Escolas Ensino Médio
CODATA
Escolas Ensino Médio
Escolas Ensino Medio
Educação
Educacao
Apresenta o total de colégios de ensino médio, públicas e privadas, em funcionamento segundo o Censo Escolar.
Fonte: INEP | Censo Escolar da Educação Básica
Ano 2023
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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=