What's new in Esri Demographics

Information about the latest release of Esri Demographics is provided below.

In November 2026, Esri made the following changes to Esri Demographics. See What's new in ArcGIS Places for details about the most recent updates to the places and points of interest datasets.

For information about previous releases, see the Prior releases topics.

Standard demographics

Esri made the following changes to the standard demographics datasets sourced from data supplied by Michael Bauer Research GmbH:

For countries or regions that include Educational Attainment data, there is a significant update. Recently, Esri's standard demographics Education variables were updated to use the International Standard Classification of Education (ISCED) levels of educational attainment. These provide a useful basis to compare educational attainment between most regions. However, it was determined that these lacked some regional nuances. Educational Attainment variables are now divided into two categories: Standardized Educational Attainment, which uses the ISCED education levels, and Educational Attainment, which provides per-country, local educational attainment levels.

For countries or regions that include Consumer Spending data, Esri has redefined variables CS13-CS16 and the related definitions and subcategories. Note that while some definitions may appear unchanged, the types of expenditures included in each variable have been updated. Because of this change, a comparison with the previous release is not possible. The following variables were updated:

Previous variable	Previous definition	Updated variable	Updated definition
`CS13_CY` Electronics & IT: Total	Consumer Electronics & Photo/IT Equipment Expenditures: Total	`CS13_CY` Electronics & IT: Total	Consumer Electronics & IT/Communication Equipment Expenditures: Total
`CS13PRM_CY` Electronics & IT: Per Mill	Consumer Electronics & Photo/IT Equipment Expenditures: Per Mill	`CS13PRM_CY` Electronics & IT: Per Mill	Consumer Electronics & IT/Communication Equipment Expenditures: Per Mill
`CSPC13_CY` Electronics & IT: Per Capita	Consumer Electronics & Photo/IT Equipment Expenditures: Per Capita	`CSPC13_CY` Electronics & IT: Per Capita	Consumer Electronics & IT/Communication Equipment Expenditures: Per Capita
`CS13IDX_CY` Electronics & IT: Index	Consumer Electronics & Photo/IT Equipment Expenditures: Index	`CS13IDX_CY` Electronics & IT: Index	Consumer Electronics & IT/Communication Equipment Expenditures: Index
`CS14_CY` Recreation Durables: Total	Recreation & Culture Durable Expenditures: Total	`CS14_CY` Toys & Sports: Total	Toys, Games, Hobby, Sports, & Other Recreation Durables: Total
`CS14PRM_CY` Recreation Durables: Per Mill	Recreation & Culture Durable Expenditures: Per Mill	`CS14PRM_CY` Toys & Sports: Per Mill	Toys, Games, Hobby, Sports, & Other Recreation Durables: Per Mill
`CSPC14_CY` Recreation Durables: Per Capita	Recreation & Culture Durable Expenditures: Per Capita	`CSPC14_CY` Toys & Sports: Per Capita	Toys, Games, Hobby, Sports, & Other Recreation Durables: Per Capita
`CS14IDX_CY` Recreation Durables: Index	Recreation & Culture Durable Expenditures: Index	`CS14IDX_CY` Toys & Sports: Index	Toys, Games, Hobby, Sports, & Other Recreation Durables: Index
`CS15_CY` Toys/Sports/Pets: Total	Toys, Games, Hobby, Sports, Garden, & Pets Expenditures: Total	`CS15_CY` Garden/Pets: Total	Garden Products & Pet Demand: Total
`CS15PRM_CY` Toys/Sports/Pets: Per Mill	Toys, Games, Hobby, Sports, Garden, & Pets Expenditures: Per Mill	`CS15PRM_CY` Garden/Pets: Per Mill	Garden Products & Pet Demand: Per Mill
`CSPC15_CY` Toys/Sports/Pets: Per Capita	Toys, Games, Hobby, Sports, Garden, & Pets Expenditures: Per Capita	`CSPC15_CY` Garden/Pets: Per Capita	Garden Products & Pet Demand: Per Capita
`CS15IDX_CY` Toys/Sports/Pets: Index	Toys, Games, Hobby, Sports, Garden, & Pets Expenditures: Index	`CS15IDX_CY` Garden/Pets: Index	Garden Products & Pet Demand: Index
`CS16_CY` Recreational Services: Total	Recreational & Cultural Service Expenditures: Total	`CS16_CY` Recreational Services: Total	Recreational & Cultural Service Expenditures: Total
`CS16PRM_CY` Recreational Services: Per Mill	Recreational & Cultural Service Expenditures: Per Mill	`CS16PRM_CY` Recreational Services: Per Mill	Recreational & Cultural Service Expenditures: Per Mill
`CSPC16_CY` Recreational Services: Per Capita	Recreational & Cultural Service Expenditures: Per Capita	`CSPC16_CY` Recreational Services: Per Capita	Recreational & Cultural Service Expenditures: Per Capita
`CS16IDX_CY` Recreational Services: Index	Recreational & Cultural Service Expenditures: Index	`CS16IDX_CY` Recreational Services: Index	Recreational & Cultural Service Expenditures: Index

The following table lists the changes made to Asian standard demographic datasets, listed alphabetically by country:

Country or region	Changed content
Armenia	The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power projection in national currency for 2026 shows an upward trend due to economic growth.
Azerbaijan	New standardized and local Educational Attainment variables. The Purchasing Power projection in national currency for 2026 shows an upward trend due to inflation.
Bahrain	Local geography level name update from Muhafazat (Governorates) to Al-Muḥāfaẓāt. Households by Type variables were removed. The use of updated input data from official statistics has led to deviations in age groups. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Bangladesh	Local geography level name updates from Bibhag (Regions) to Bibhāgasamūha, from Zila (Districts) to Jelāsamūha, and from Upazila (Subdistricts) to Upajelāsamūha o Thānāsamūha. The Purchasing Power projection in national currency for 2026 shows an upward trend due to high inflation.
Brunei Darussalam	The Educational Attainment variables were updated into standardized or local categories. The integration of Census 2021 data newly released by official statistics has led to deviations in Educational Attainment data.
Cambodia	New standardized and local Educational Attainment variables. The use of updated input data from official statistics has led to deviations in Unemployed Population data. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data.
China	Local geography level name updates from Provinces to Shěng jí, from Prefectures to Dì jí, and from Counties and City Districts to Xiàn jí. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 0.86% compared to former estimates; this difference is attributed to updates to United Nations data that is based on input data from the National Bureau of Statistics of China. The use of updated input data from official statistics has led to deviations in Households by Type data, reflecting methodological improvements in the allocation and distribution of household categories. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to economic growth. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Georgia	Local geography level name update from Mchareebi (Regions) to Regionebi. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 0.47% compared to former estimates; this difference is attributed to updates to United Nations data that is based on input data from the National Statistics Office of Georgia. The use of Census 2024 data from official statistics has led to deviations in Marital Status and Unemployed Population data. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data. There is no official data available for Ap’khazet’is Avtonomiuri Respublika.
Hong Kong	Local geography level name updates from Districts to Qū yìhuì fēnqū, from Constituency Areas to Gè qū yìhuì dìfāng xuǎnqū, and from Constituency Area Parts to Gè qū yìhuì xuǎnqū. The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
India	The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to economic growth. Data for 15-year age bands of India are modeled on the basis of 15-year age bands of a subordinate geographical level and on the basis of the relation of children (0-6) and adults at the level of Subdistricts. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Indonesia	Local geography level name updates from Kabupaten (Counties) to Kabupaten dan Kota and from Desa (Subdistricts) to Desa dan Kelurahan. The Educational Attainment variables were updated into standardized or local categories. The use of updated input data from official statistics has led to deviations in Age groups. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to economic growth. For reasons of data privacy, in areas with few inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero. Education and Marital Status data is based on the distribution of the respective Kabupaten dan Kota. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Iran	The Purchasing Power projection in national currency for 2026 shows a significant upward trend due to a revision of economic data. Age and Gender data is based on the distribution of the respective Ostānhā. Unemployed Population and Purchasing Power data is based on per capita values of the respective Ostānhā.
Israel	Local geography level name change from Moatzah Mekomit (Subregions) to Rashuyot Mekomiyot. The Consumer Spending projection in national currency for 2026 shows variations compared to 2024 with shifts within categories due to new data from official statistics. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. There is no coverage for settlements of Samaria and Judea. There is no official data available for the six Territories without Jurisdiction or Industrial Local Councils.
Japan	Local geography level name change from Chouchou (Statistical Areas) to Shōchiiki. The settlement points were updated by Esri Japan as part of their ongoing annual data updates, which could result in changes to previously run values in some trade areas. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 1.5% compared to former estimates; this difference is attributed to updates from the United Nations data that is based on input data from the Statistics Bureau of Japan. The use of updated input data from official statistics has led to deviations in Households by Type data, reflecting methodological improvements in the allocation and distribution of household categories. The Consumer Spending projection in national currency for 2026 shows variations compared to 2024 with shifts within categories due to new data from official statistics. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. For reasons of data privacy, in areas with fewer than 10 inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero.
Jordan	The Educational Attainment variables were updated into standardized or local categories. The use of updated input data from official statistics has led to deviations in Marital Status and Education data. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data.
Kazakhstan	Local geography name update from Oblystar (Regions) to Öñirler. The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power projection in national currency for 2026 shows an upward trend due to high inflation.
Kuwait	Local geography level name change from Muhafazat (Governorates) to Al-Muḥāfaḥāt. The Educational Attainment variables were updated into standardized or local categories. The use of updated input data from official statistics has led to deviations in Age groups, Education, and Unemployed Population data. The Purchasing Power projection in national currency for 2026 shows a downward trend due to a revision of economic data.
Kyrgyzstan	The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power projection in national currency for 2026 shows a significant upward trend due to a revision of economic data.
Lebanon	Local geography level name change from Muhafazat (Governorates) to Al-Muẓāfaẓāt. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 0.01% compared to former estimates; this difference is attributed to updates from United Nations data based on input data from the Central Administration of Statistics of Lebanon. The use of updated input data from official statistics has led to deviations in Age groups data. The Purchasing Power and Consumer Spending projections in national currency for 2026 show a downward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. Age and Gender are reported separately, not in combination. Education data excludes domestic workers.
Macao	Local geography level name change from Parishes to Tángqū. The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power projection in national currency for 2026 shows an upward trend due to economic growth. There is no official data available for Lù dàng tián hǎiqū, Xīnchéng A qū, Xīnchéng C qū, and Gǎng Zhū Ào Réngōngdǎo Àomén kǒu'àn guǎnlǐ qū.
Malaysia	Local geography level name changes from Daerah (Districts) to Daerah dan Jajahan and from Mukim (Subdistricts) to Mukim, Bandar dan Pekan. The Consumer Spending projection in national currency for 2026 shows variations compared to 2024 with shifts within categories due to new data from official statistics. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. For reasons of data privacy, in areas with fewer than 10 inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero. Age and Gender data is reported separately, not in combination.
Maldives	Local geography level name change from Atolls (Districts) to Atholhuthah. New standardized and local Educational Attainment and Marital Status variables were added. The use of updated input data from official statistics has led to deviations in Age groups. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data.
Mongolia	Local geography level name changes from Regions to Büsüüd and from Aimags (Provinces) to Aimguud. New standardized and local Educational Attainment variables were added. The use of updated input data from official statistics has led to deviations in Age groups and Unemployed Population data. The Purchasing Power projection in national currency for 2026 shows an upward trend due to inflation and economic growth.
Myanmar	Local geography level name changes from Pyi ne-myar/Taing-myar (Regions) to Pyi-na mya hnint Taing-de-tha gyi mya, from Khayaing (Districts) to Kha-yine mya, and from Myahoetnaal (Subdistricts) to Myo-na mya. There are new Marital Status variables, and the Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 4.83% compared to former estimates; this difference is attributed to the use of the Census 2024 data from the Central Statistical Organization of Myanmar. Further, the use of Census 2024 data from official statistics has led to deviations in Education data. The Purchasing Power projection in national currency for 2026 shows a significant upward trend due to high inflation. Age, Gender, Education, and Marital Status data is based on the distribution of the respective Pyi-na mya hnint Taing-de-tha gyi mya.
Nepal	Local geography name change from Jilla (Districts) to Jillāharū. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 2.49% compared to former estimates; this difference is attributed to updates to United Nations data that is based on input data from the National Statistics Office of Nepal. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data.
Oman	Local geography name changes from Muhafazat (Governorates) to Al-Muḥāfaẓāt and from Wilayat (Provinces) to Al-Wilāyāt. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level increased by 22.02% compared to former estimates; this difference is attributed to updates from United Nations data based on input data from the National Center for Statistics and Information of Oman. The use of updated input data from official statistics combined with a significant increase in the overall population has led to deviations across all related variables. The Purchasing Power projection in national currency for 2026 shows a downward trend due to a revision of economic data.
Pakistan	Local geography level name changes from Provinces to Sūbe, from Divisions to Diviženẽ, and from Zillahs to Azlāʿ. New Population by 15-Year Age and Gender, Marital Status, and standardized and local Educational Attainment variables were added. The Purchasing Power projection in national currency for 2026 shows an upward trend due to inflation and economic growth. Apart from Azad Jammu, Kashmir, and Gilgit-Baltistan, the data of the Frontier Regions are included in the respective districts of FATA.
Philippines	Local geography level name change from Municipalities and Cities to Municipalities. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 0.18% compared to former estimates; this difference is attributed to updates from United Nations data based on input data from the Philippine Statistics Authority. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Qatar	Local geography level name changes from Baladiyat (Municipalities) to Al-Baladiyyāt and from Zones to Al-Manāṭiq. New Population by 15-Year Age and Gender, Total Households, Average Household Size, and Unemployed Population variables were added. The Purchasing Power projection in national currency for 2026 shows a downward trend due to a revision of economic data. For reasons of data privacy, in areas with fewer than 10 inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero. Unemployed Population data is based on per capita values of the respective Al-Baladiyyat.
Saudi Arabia	Local geography name changes from Manatiq Idariyya (Regions) to Al-Manāṭiq and from Muhafazat (Governorates) to Al-Muḥāfaẓāt. The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Singapore	The Educational Attainment variables were updated into standardized or local categories. The use of updated input data from official statistics has led to deviations in Households by Type, reflecting methodological improvements in the allocation and distribution of household categories. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
South Korea	Regional geography level name changes from Do (Provinces) to Si-Do and from Si-Gun (Districts) to Si-Gun-Gu. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 0.27% compared to former estimates; this difference is attributed to updates to United Nations data that is based on input data from Statistics Korea. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Sri Lanka	Local geography name change from DS-Divisions to Prādeshiya Lēkam Koḷḷhāsaval. New standardized and local Educational Attainment variables were added. The Population by age variables were updated to Population by 15-Year Age and Gender. The use of Census 2024 data from official statistics has led to deviations in Age groups and Marital Status. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data.
Taiwan	Local geography name changes from Provinces to Shěng, from Counties to Xiàn Shì, and from Counties and Urban Districts to Táiběi Xiàn Shì Qū. The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 3.92% compared to former estimates; this difference is attributed to updates from United Nations data based on input data from the Directorate-General of Budget, Accounting, and Statistics of Taiwan. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to economic growth. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. Education data in New Taipei City is based on the distribution of the respective Xiàn Shì.
Tajikistan	New Male/Female Population, Population by 15-Year Age and Gender, Total Households, Average Household Size, and standardized and local Educational Attainment variables. Age and Gender data is based on the distribution of the respective Viloyatho.
Thailand	The settlement points were updated with the latest Nostra residential housing unit points, which could result in changes to previously run values in some trade areas. New standardized and local Educational Attainment variables. The use of updated input data from official statistics has led to deviations in Age groups. The Consumer Spending projection in national currency for 2026 shows variations compared to 2024 with shifts within categories due to new data from official statistics. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
United Arab Emirates	Local geography level name changes from Imarat (Emirates) to Al-Imārāt and from Regions and Sectors to Al-Manāḥiq wa al-Qiḥāḥāt. Population projections at the national level increased by 20.67% compared to former estimates; this difference is attributed to updates to the United Nations data that is based on significant new input data from the Federal Competitiveness and Statistics Centre of the United Arab Emirates. The significant increase in the overall population has led to deviations in Gender and Households data. The Purchasing Power projection in national currency for 2026 shows an upward trend due to economic growth. For the regions of Abu Dhabi, Household data is based on the household size of the respective Al-Imārāt.
Uzbekistan	The Purchasing Power projection in national currency for 2026 shows a significant upward trend due to a revision of economic data.
Vietnam	Esri geography level name change from Districts to Municipalities, and local geography level name changes from Tinh (Provinces) to Cấp Tỉnh and from Huyen (Districts) to Cấp Xã (Municipalities). New Marital Status variables and the Educational Attainment variables were updated into standardized or local categories. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to high economic growth. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. Education and Marital Status data is based on the distribution of the respective Cấp Tỉnh.

The following table lists the changes made to Oceanian standard demographic datasets, listed alphabetically by country:

Country or region	Changed content
Australia	New settlement points (previously ABS mesh blocks). The housing unit points and values used for data apportionment are more accurate and more granular; these may significantly alter the results for small trade areas and trade areas along the edges of urban areas. The Educational Attainment variables were updated into standardized or local categories. The use of updated input data from official statistics has led to deviations in Unemployed Population data. The Consumer Spending projection in national currency for 2026 shows variations compared to 2024 with shifts within categories due to new data from official statistics. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. For reasons of data privacy, in areas with fewer than 10 inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero.
Fiji	New Marital Status and Unemployed Population variables. Population projections at the national level declined by 0.61% compared to former estimates; this difference is attributed to updates from the United Nations data based on input data from the Fiji Bureau of Statistics.
French Polynesia	Local geography level name change from Iles (Regions) to Subdivisions Administratives. New Total Households, Average Household Size, Households by Type, and Unemployed Population variables and the Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 0.98% compared to former estimates; this difference is attributed to updates from United Nations data based on input data from the Institut de la statistique de la Polynésie française. The Purchasing Power projection in national currency for 2026 shows an upward trend due to high economic growth.
New Caledonia	The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 5.36% compared to former estimates; this difference is attributed to the use of the Census 2025 data from the Institut de la statistique et des études économiques for New Caledonia. The Purchasing Power projection in national currency for 2026 shows a downward trend due to a revision of economic data.
New Zealand	New Unemployed Population variables were added, and the Educational Attainment variables were updated into standardized or local categories. The use of Census 2023 input data from official statistics has led to deviations in Education data. The use of updated information from official statistics has led to more detailed information about Households by Type, resulting in improvements to the allocation and distribution of household categories. The Consumer Spending projection in national currency for 2026 shows an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. For reasons of data privacy, in areas with fewer than 10 inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero.
Papua New Guinea	The large increase in population in the National Capital District is mainly driven by ongoing urbanization and migration toward Port Moresby. In addition, the 2024 Census results indicate that previous estimates may have understated the actual population size of the capital region.

The following table lists the changes made to South American standard demographic datasets, listed alphabetically by country:

Country or region	Changed content
Argentina	Local geography name change from Fracciones (Statistical Areas) to Fracciones Censales. New Households by Type variables were added, the Population by age variables were updated to Population by 15-Year Age and Gender, and the Educational Attainment variables were updated into standardized or local categories. The No Education/Illiterate projection for 2026 shows deviations; this difference is attributed to fluctuations in the underlying age group. The Purchasing Power and Consumer Spending projections in national currency for 2026 show a significant upward trend due to high inflation. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. For reasons of data privacy, in areas with fewer than 10 inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero. Unemployed Population data is based on per capita values of the respective Departamentos.
Bolivia	New Households by Type, Households by Income, Unemployed Population, and standardized and local Educational Attainment variables. Population projections at the national level declined by 4.73% compared to former estimates; this difference is attributed to the use of the Census 2024 data from the Instituto Nacional de Estadística in Bolivia. The use of Census 2024 input data from official statistics has led to deviations in Marital Status data and Education data. The Purchasing Power projection in national currency for 2026 shows a significant upward trend due to high inflation.
Brazil	Local geography level name change from Setores (Statistical Areas Level 1) to Setores Censitários. New Households by Type, Households by Income, and Unemployed Population variables were added, and the Educational Attainment variables were updated into standardized or local categories. The use of Census 2022 data from official statistics has led to deviations in Education data. The Purchasing Power and Consumer Spending projections in national currency for 2026 show a significant upward trend due to high inflation. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`. For reasons of data privacy, in areas with fewer than 10 inhabitants, all data except Population and Household numbers are anonymized. For these areas, all variables simultaneously referring to currency and population are based on the national average and all other variables are set to zero. Education data is based on the distribution of the respective Municipios. Unemployed Population data is based on per capita values of the respective Municipios.
Chile	New Marital Status and Unemployed Population variables were added, and the Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 1.53% compared to former estimates; this difference is attributed to the use of the Census 2024 data from the Instituto Nacional de Estadísticas of Chile. The use of Census 2024 data from official statistics has led to deviations in Households by Type data and Education data. The Consumer Spending projection in national currency for 2026 shows variations compared to 2024 with shifts within categories due to new data from official statistics. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Colombia	New settlement points. The previous points used 2023 European Commission Global Human Settlement Layer (GHSL) 100 meter population raster grid data. The new housing unit points and values used for data apportionment are more accurate and granular than the previous points, which may significantly alter the results for small trade areas and trade areas along the edges of urban areas. The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power and Consumer Spending projections in national currency for 2026 show a significant upward trend due to inflation. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Ecuador	New settlement points. The previous points used 2023 European Commission Global Human Settlement Layer (GHSL) 100 meter population raster grid data. The new housing unit points and values used for data apportionment are more accurate and granular than the previous points, which may significantly alter the results for small trade areas and trade areas along the edges of urban areas. New Male/Female Population Totals, Population by 15-Year Age and Gender, Total Households, Average Household Size, Households by Type, Marital Status, and standardized and local Educational Attainment variables were added. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data.
French Guiana	The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 0.29% compared to former estimates; this difference is attributed to updates to United Nations data based on input data from the Institut national de la statistique et des études économiques for French Guiana.
Guyana	The Purchasing Power projection in national currency for 2026 shows an upward trend due to high economic growth.
Paraguay	The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 12.07% compared to former estimates; this difference is attributed to the use of the Census 2022 data from the Instituto Nacional de Estadística for Paraguay. The use of Census 2022 input data from official statistics has led to deviations in Age group and Education data.
Peru	The Educational Attainment variables were updated into standardized or local categories. The Purchasing Power projection in national currency for 2026 shows an upward trend due to a revision of economic data.
Uruguay	New Households by Income, Households by Type, and Marital Status variables were added, and the Educational Attainment variables were updated into standardized or local categories. The use of Census 2023 input data from official statistics has led to deviations in Education data. The Purchasing Power and Consumer Spending projections in national currency for 2026 show an upward trend due to a revision of economic data. See the information at the top of this section about updates to Consumer Spending variables `CS13-CS16`.
Venezuela	The Educational Attainment variables were updated into standardized or local categories. Population projections at the national level declined by 2.59% compared to former estimates; this difference is attributed to updates from United Nations data based on input data from the Instituto Nacional de Estadística for Venezuela, reflecting increased emigration in recent years. The Purchasing Power projection in national currency for 2026 shows a significant upward trend due to extremely high inflation.

Advanced demographics

The November 2026 release introduces four new advanced demographics datasets for Colombia, Ecuador, England, and Panama and updates the datasets for Canada, France, India, Puerto Rico, and the United States.

Bilingual English/Spanish datasets for Colombia, Ecuador, and Panama are available in ArcGIS Business Analyst Web. Release notes and variable lists are available in Spanish and English.

A bilingual English/French dataset for France is available in ArcGIS Business Analyst Web, ArcGIS Business Analyst Pro, and ArcGIS Business Analyst Enterprise. The release notes and variable list are available in French and English.

Canada

The ArcGIS Places - Canada dataset for Canada has been updated. See What's new in ArcGIS Places for details.

Colombia

Esri has added a new bilingual English/Spanish advanced demographics dataset for Colombia sourced from data supplied by Esri Colombia. The release date is November 2026; the vintage is 2024. It includes 159 premium variables: 4 Population, 2 Households, 75 detailed Age (including 5-year total age and 5-year age by gender, age dependency ratios, and median age), 8 detailed Education, 7 Marital Status, 11 Income (such as income percentiles and monthly purchasing power), and 52 granular Spending variables.

Ecuador

Esri has added a new bilingual English/Spanish advanced demographics dataset for Ecuador sourced from data supplied by Esri Ecuador. The release date is November 2026; the vintage is 2024. It includes 159 premium variables: 4 Population, 2 Households, 75 detailed Age (including 5-year total age and 5-year age by gender, age dependency ratios, and median age), 8 detailed Education, 7 Marital Status, 11 Income (such as income percentiles and monthly purchasing power), and 52 granular Spending variables.

England

Esri has added a new beta advanced demographics dataset for England, a member country of the United Kingdom, with data supplied by Esri UK. The release date is November 2026; the vintage includes the years 2026, 2025, 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, and 2016. It includes 4,869 attributes that provide detailed information about English regional population, migration, and length of residence; poverty status and public benefits; languages spoken; religion; ethnicity; marital status; housing types; jobs; and crime data. See the Attribute summaries table in the Esri UK topic to learn more.

France

Esri has made the following changes to the advanced demographics dataset for France:

The settlement points were updated to the 50-meter tiles provided by Esri France.
The release notes and variable list are available in English and French.
New attributes include the following:
- 2024 Population variable—Number of Births
- 2024 Business variables—Nurse, Doctor, Dental Practice, and Jewelry and Watchmaking
- 2022 Jobs variables—Industry Workers age 15+, Industry Workers age 15-64, Self Employed Age 15+, Managers age 15+, Middle Jobs Age 15+, Office Employees Age 15+, Farmers Age 15+, Retired Age 15+, Other Occupation Age 15+, Households: Reference Person is Self Employed, Households: Reference Person is a Manager, Households: Reference Person is in an Intermediate Job, Households: Reference Person is an Industry Worker, Households: Reference Person is an Office Employee, Households: Reference Person is a Farmer, Households: Reference Person is Retired, Households: Reference Person is in another Category, Working Self Employed Age 15-64, Working Managers age 15-64, Working Middle Jobs Age 15-64, Working Office Employees Age 15-64, Working Farmers Age 15-64, Salaried Employees (Place of Work)
Removed attributes include the following:
- 2019 Population variable—Number of Births
- 2023 Business variables—Professional School, Nurse, Doctor, and Dental Practice
- 2021 Housing variables—Households with Individual Central Heating, Households with Individual Electrical Heating, Households with Bath or Shower, Households with Central Heating
- 2021 Jobs variables—Industry Workers age 15+, Retired Age 15+, Other Occupation Age 15+, Households: Reference Person is a Farmer, Farmers Age 15+, Self Employed Age 15+, Managers age 15+, Middle Jobs Age 15+, Office Employees Age 15+, Households: Reference Person is Self Employed, Households: Reference Person is a Manager, Households: Reference Person is in an Intermediate Job, Households: Reference Person is an Industry Worker, Households: Reference Person is an Office Employee, Households: Reference Person is Retired; Households: Reference Person is in another Category, Working Self Employed Age 15-64, Working Managers age 15-64, Working Middle Jobs Age 15-64, Working Office Employees Age 15-64, Industry Workers age 15-64, Working Farmers Age 15-64, Salaried Employees (Place of Work)

India

Esri has made the following changes to the advanced demographics dataset for India:

The settlement points are updated to the 2023 European Commission Global Human Settlement Layer (GHSL).
Two new segmentation attributes have been added: 2026 Dominant Consumer Styles Segment and 2026 Dominant Consumer Styles Segment Name.

Panama

Esri has added a new bilingual English/Spanish advanced demographics dataset for Panama sourced from data supplied by Esri Panama. The release date is November 2026; the vintage is 2024. It includes 159 premium variables: 4 Population, 2 Households, 75 detailed Age (including 5-year total age and 5-year age by gender, age dependency ratios, and median age), 8 detailed Education, 7 Marital Status, 11 Income (such as income percentiles and monthly purchasing power), and 52 granular Spending variables.

Puerto Rico

The Puerto Rican ArcGIS Places dataset has been updated. See What's new in ArcGIS Places for details.

United States

Esri made the following changes to the advanced demographics datasets for the United States:

The Business Locations and Points of Interest datasets have been updated. See What's new in ArcGIS Places for details.
The Business Summary dataset was updated with August 2026 data from Data Axle.