This dataset provides Census 2021 estimates that classify usual residents in England and Wales by ethnic group. The estimates are as at Census Day, 21 March 2021.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Ethnic group (20 categories)

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance.

Respondents could choose one out of 19 tick-box response categories, including write-in response options.

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by economic activity status, and by passports held. The estimates are as at Census Day, 21 March 2021

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport. Only the first country written in “Other passport” was taken. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Economic activity status

People aged 16 years and over are economically active if, between 15 March and 21 March 2021, they were:

• in employment (an employee or self-employed)
• unemployed, but looking for work and could start within two weeks
• unemployed, but waiting to start a job that had been offered and accepted

It is a measure of whether or not a person was an active participant in the labour market during this period. Economically inactive are those aged 16 years and over who did not have a job between 15 March to 21 March 2021 and had not looked for work between 22 February to 21 March 2021 or could not start work within two weeks.

The census definition differs from International Labour Organization definition used on the Labour Force Survey, so estimates are not directly comparable.

This classification splits out full-time students from those who are not full-time students when they are employed or unemployed. It is recommended to sum these together to look at all of those in employment or unemployed, or to use the four category labour market classification, if you want to look at all those with a particular labour market status.

Passports held

All passports classifies a person according to the passport or passports they held at the time of the census. This included expired passports or travel documents people were entitled to renew. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport.

NOTE: Data based on a sample. For information on confidentiality.protection, sampling error, nonsampling error, definitions, and.count corrections see.http://www.census.gov/prod/cen2000/doc/sf4.pdf

NOTE: For information on confidentiality protection, nonsampling.error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/sf2.pdf

This data set represents the levels of social vulnerability to various natural hazards in Chile using data from the 2002 Population Census. The model is based on the Social Vulnerability Index (SoVI) created by Cutter et al., (2003). This index was built based on demographic, socioeconomic and physical variables of the population at the district level, mainly through the Population and Housing Census of each of the years involved in the study (1992, 2002 and 2017).

On the map, 5 levels of vulnerability are represented, which range from “Very low” to “Very high”. Each of these levels were defined in standard deviation values ​​with respect to the mean and are represented by a red scale, where the palest red indicates the lowest levels of vulnerability and the strongest the highest levels.

The levels of vulnerability obtained for each year are explained by different factors. However, it is highlighted that in general socioeconomic status is the common factor to explain social vulnerability for 1992, 2002 and 2017. For more details refer to the article Temporal evolution in social vulnerability to natural hazards in Chile. Bronfman, N. C., Repetto, P. B., Guerrero, N., Castañeda, J. V., & Cisternas, P. C. (2021). Natural hazards, 107(2), 1757-1784.

NOTE: For information on confidentiality protection,.nonsampling error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/sf1.pdf

Brazil Population Census: Northeast: Paraíba: Age 60 Years or More data was reported at 451,386.000 Person in 2010. This records an increase from the previous number of 350,566.000 Person for 2000. Brazil Population Census: Northeast: Paraíba: Age 60 Years or More data is updated yearly, averaging 400,976.000 Person from Jul 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 451,386.000 Person in 2010 and a record low of 350,566.000 Person in 2000. Brazil Population Census: Northeast: Paraíba: Age 60 Years or More data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAC021: Population Census: by State and Age: Northeast: Paraíba.

Census: Population: Maharashtra: Jejuri data was reported at 14,515.000 Person in 03-01-2011. This records an increase from the previous number of 12,000.000 Person for 03-01-2001. Census: Population: Maharashtra: Jejuri data is updated decadal, averaging 3,523.000 Person from Mar 1911 (Median) to 03-01-2011, with 11 observations. The data reached an all-time high of 14,515.000 Person in 03-01-2011 and a record low of 2,013.000 Person in 03-01-1921. Census: Population: Maharashtra: Jejuri data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC021: Census: Population: By Towns and Urban Agglomerations: Maharashtra.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Voter precincts were developed from U.S. Census Bureau 2010 TIGER/Lines files as a result of the 2010 redistricting effort.

Census data showed employment reached an estimated 16 021 200 in 2006, up 1 326 000 from 2001. Just two western provinces - Alberta and British Columbia - accounted for a third of this increase. During the same five-year period, the unemployment rate fell in every province and territory, except Ontario and the Northwest Territories. The shift in industrial demand for workers to different parts of the economy had an impact on the occupational make-up of the nation. The map shows by census subdivision the percentage of the population employed in primary industry.

India Census: Number of Households: Kerala: Rural: by Size: 5 Members data was reported at 777,285.000 Unit in 2011. India Census: Number of Households: Kerala: Rural: by Size: 5 Members data is updated yearly, averaging 777,285.000 Unit from Mar 2011 (Median) to 2011, with 1 observations. India Census: Number of Households: Kerala: Rural: by Size: 5 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF021: Census: Number of Households: by Size: Kerala.

Economic activity and hours worked by sex and limiting long-term illness. Census Area Statistics Table CAS021 Source: Census 2001 Publisher: Nomis Geographies: Lower Layer Super Output Area (LSOA), Middle Layer Super Output Area (MSOA), Local Authority District (LAD), Government Office Region (GOR), National, Parliamentary Constituency, Urban area Geographic coverage: England and Wales Time coverage: 2001 Type of data: Survey (census)

India Census: Number of Households: Kerala: Urban: by Size: 6 to 8 Members data was reported at 580,836.000 Unit in 2011. India Census: Number of Households: Kerala: Urban: by Size: 6 to 8 Members data is updated yearly, averaging 580,836.000 Unit from Mar 2011 (Median) to 2011, with 1 observations. India Census: Number of Households: Kerala: Urban: by Size: 6 to 8 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF021: Census: Number of Households: by Size: Kerala.

India Census: Number of Households: Kerala: Rural: by Size: 2 Members data was reported at 440,543.000 Unit in 2011. India Census: Number of Households: Kerala: Rural: by Size: 2 Members data is updated yearly, averaging 440,543.000 Unit from Mar 2011 (Median) to 2011, with 1 observations. India Census: Number of Households: Kerala: Rural: by Size: 2 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF021: Census: Number of Households: by Size: Kerala.

Census: Population: Maharashtra: Basmath: Female data was reported at 33,290.000 Person in 03-01-2011. This records an increase from the previous number of 27,631.000 Person for 03-01-2001. Census: Population: Maharashtra: Basmath: Female data is updated decadal, averaging 7,470.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 33,290.000 Person in 03-01-2011 and a record low of 4,318.000 Person in 03-01-1901. Census: Population: Maharashtra: Basmath: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC021: Census: Population: By Towns and Urban Agglomerations: Maharashtra.

Census: Population: Maharashtra: Bhiwandi data was reported at 709,665.000 Person in 03-01-2011. This records an increase from the previous number of 621,427.000 Person for 03-01-2001. Census: Population: Maharashtra: Bhiwandi data is updated decadal, averaging 36,697.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 709,665.000 Person in 03-01-2011 and a record low of 10,354.000 Person in 03-01-1901. Census: Population: Maharashtra: Bhiwandi data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC021: Census: Population: By Towns and Urban Agglomerations: Maharashtra.

There were 2 021 800 Facebook users in Bosnia and Herzegovina in December 2021, which accounted for 58.5% of its entire population. The majority of them were men - 51.1%. People aged 25 to 34 were the largest user group (558 100). The highest difference between men and women occurs within people aged 25 to 34, where men lead by 298 900.

Census: Population: Maharashtra: Alibag data was reported at 20,743.000 Person in 03-01-2011. This records an increase from the previous number of 19,496.000 Person for 03-01-2001. Census: Population: Maharashtra: Alibag data is updated decadal, averaging 9,045.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 20,743.000 Person in 03-01-2011 and a record low of 3,467.000 Person in 03-01-1911. Census: Population: Maharashtra: Alibag data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC021: Census: Population: By Towns and Urban Agglomerations: Maharashtra.