Context :

The United States census count (also known as the Decennial Census of Population and Housing) is a count of every resident of the US. The census occurs every 10 years and is conducted by the United States Census Bureau. Census data is publicly available through the census website, but much of the data is available in summarized data and graphs. The raw data is often difficult to obtain, is typically divided by region, and it must be processed and combined to provide information about the nation as a whole. Update frequency: Historic (none)

Dataset source

United States Census Bureau

Sample Query

SELECT zipcode, population FROM bigquery-public-data.census_bureau_usa.population_by_zip_2010 WHERE gender = '' ORDER BY population DESC LIMIT 10

Terms of use

This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/us-census-data

India Population: Census: Age: 10 to 14 Year data was reported at 132,709.212 Person th in 03-01-2011. This records an increase from the previous number of 124,847.000 Person th for 03-01-2001. India Population: Census: Age: 10 to 14 Year data is updated decadal, averaging 124,847.000 Person th from Mar 1991 (Median) to 03-01-2011, with 3 observations. The data reached an all-time high of 132,709.212 Person th in 03-01-2011 and a record low of 98,692.000 Person th in 03-01-1991. India Population: Census: Age: 10 to 14 Year 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.GAD001: Census: Population: by Age Group.

Brazil Population Census: Age 10 to 14 Years: Age 10 Years data was reported at 3,505,216.000 Person in 2010. This records an increase from the previous number of 3,367,200.000 Person for 2000. Brazil Population Census: Age 10 to 14 Years: Age 10 Years data is updated yearly, averaging 3,436,208.000 Person from Jul 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 3,505,216.000 Person in 2010 and a record low of 3,367,200.000 Person in 2000. Brazil Population Census: Age 10 to 14 Years: Age 10 Years 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.GAC002: Population Census: by Age.

Graph and download economic data for New Privately Owned Housing Starts by Number of Units in Building, 10 to 19 Units in the South Census Region (HOUSTDTD1019UMSQ) from Q1 1999 to Q1 2025 about 10-19 unit structures, South Census Region, housing starts, privately owned, new, housing, and USA.

About this dataset

Context

The dataset tabulates the Ten Sleep population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Ten Sleep. The dataset can be utilized to understand the population distribution of Ten Sleep by age. For example, using this dataset, we can identify the largest age group in Ten Sleep.

Key observations

The largest age group in Ten Sleep, WY was for the group of age 60 to 64 years years with a population of 31 (14.49%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Ten Sleep, WY was the 25 to 29 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Ten Sleep is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Ten Sleep total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ten Sleep Population by Age. You can refer the same here

Venezuela Population: Census: Age 10-14 data was reported at 2,516,779.000 Person in 2011. This records a decrease from the previous number of 2,535,766.000 Person for 2001. Venezuela Population: Census: Age 10-14 data is updated yearly, averaging 1,178,871.000 Person from Dec 1926 (Median) to 2011, with 10 observations. The data reached an all-time high of 2,535,766.000 Person in 2001 and a record low of 326,781.000 Person in 1926. Venezuela Population: Census: Age 10-14 data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Venezuela – Table VE.G001: Population.

The layer was compiled from the U.S. Census Bureau’s 2018 Planning Database (PDB), a database that assembles a range of housing, demographic, socioeconomic, and census operational data. The data is from the 2012 – 2016 American Community Survey 5-Year Estimates. The purpose of the data is for 2020 Census planning purposes.

Source: 2018 PDB, U.S. Census Bureau

Effective Date: June 2018

Last Update: January 2020

Update Cycle: Generally, annually as needed. 2018 PDB is vintage used for 2020 Census planning purposes by Nation and County.

The American Community Survey (ACS) is a uswide survey designed to provide communities a fresh look at how they are changing. The ACS replaced the decennial census long form in 2010 and thereafter by collecting long form type information throughout the decade rather than only once every 10 years. Questionnaires are mailed to a sample of addresses to obtain information about households -- that is, about each person and the housing unit itself. The American Community Survey produces demographic, social, housing and economic estimates in the form of 1 and 5-year estimates based on population thresholds. The strength of the ACS is in estimating population and housing characteristics. The data profiles provide key estimates for each of the topic areas covered by the ACS for the us, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Although the ACS produces population, demographic and housing unit estimates,it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the us, states, counties, cities and towns, and estimates of housing units for states and counties. For 2010 and other decennial census years, the Decennial Census provides the official counts of population and housing units.

Venezuela Population: Census: Female: Age 10-14 data was reported at 1,218,588.000 Person in 2011. This records a decrease from the previous number of 1,254,424.000 Person for 2001. Venezuela Population: Census: Female: Age 10-14 data is updated yearly, averaging 585,291.000 Person from Dec 1926 (Median) to 2011, with 10 observations. The data reached an all-time high of 1,254,424.000 Person in 2001 and a record low of 158,273.000 Person in 1926. Venezuela Population: Census: Female: Age 10-14 data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Venezuela – Table VE.G001: Population.

Abstract

Censuses are principal means of collecting basic population and housing statistics required for social and economic development, policy interventions, their implementation and evaluation. The Post-Apartheid South African government has conducted three Censuses, in 1996, 2001 and 2011.

Geographic coverage

The South African Census 2011 has national coverage.

Analysis unit

Households and individuals

Universe

The South African Census 2011 covered every person present in South Africa on Census Night, 9-31 October 2011 including all de jure household members and residents of institutions.

Kind of data

Census/enumeration data

Sampling procedure

The sampling frame for the PES was the complete list of Census 2011 EAs, amounting to 103 576 EAs. The primary sampling units (PSUs) were the Census EAs. The principle for selecting the PES sample is that the EA boundaries for sampled EAs should have well defined boundaries, and these boundaries should correspond with those of Census EAs to allow for item-by-item comparison between the Census and PES records. The stratification and sampling process followed will allow for the provision of estimates at national, provincial, urban (geography type = urban) and non-urban (geography type = farm and traditional) levels, but estimates will only be reliable at national and provincial levels. The sample of 600 EAs was selected and allocated to the provinces based on expected standard errors which were based on those obtained in PES 2001. Populations in institutions (other than Workers' Hostels), floating and homeless individuals were excluded from the PES sample.

The data files in the dataset include Household, Person, and Mortality files. The 10% sample for the Mortality data file was sampled separately and is not the same as the 10% sample for Household file and Person file.

Mode of data collection

Face-to-face

Research instrument

Three sets of questionnaires were developed for Census 2011: 1. Questionnaire A - the household questionnaire - administed to the population in a household set-up including those households that were found within an institution, such as staff residences 2. Questionnaire B - the population in transit (departing) and those on holiday on reference night (9/10 October 2011). The homeless were also enumerated using this set of questions 3. Questionnaire C - the institutions questionnaire administered to the population in collective living quarters (people who spent census night 9/10 October 2011 at the institution)

A Post-Enumeration Survey was carried out after the census, which used a PES questionnaire.

Sampling error estimates

Comparison of Census 2011 with previous Censuses requires alignment of the data to 2011 municipal boundaries Questions on disability asked in former censuses were replaced in census 2011 with General health and functioning questions. Misreporting on general health and functioning for children younger than five years means data for this variable are only profiled for persons five years and older.

Data appraisal

The dataset does not have a code list for the “geotype” variable which has 3 values (1,2,3).

This layer shows which parts of the United States and Puerto Rico fall within ten minutes" walk of one or more grocery stores. It is estimated that 20% of U.S. population live within a 10 minute walk of a grocery store, and 92% of the population live within a 10 minute drive of a grocery store. The layer is suitable for looking at access at a neighborhood scale. When you add this layer to your web map, along with the drivable access layer and the SafeGraph grocery store layer, it becomes easier to spot grocery stores that sit within a highly populated area, and grocery stores that sit in a shopping center far away from populated areas. Add the Census block points layer to show a popup with the count of stores within 10 minutes" walk and drive. This view of a city begins to hint at the question: how many people have each type of access to grocery stores? And, what if they are unable to walk a mile regularly, or don"t own a car? How to Use This Layer in a Web MapUse this layer in a web map to introduce the concepts of access to grocery stores in your city or town. This is the kind of map where people will want to look up their home or work address to validate what the map is saying. See this example web map which you can use in your projects, storymaps, apps and dashboards. The layer was built with that use in mind. Many maps of access use straight-line, as-the-crow-flies distance, which ignores real-world barriers to walkability like rivers, lakes, interstates and other characteristics of the built environment. Block analysis using a network data set and Origin-Destination analysis factors these barriers in, resulting in a more realistic depiction of access. Lastly, this layer can serve as backdrop to other community resources, like food banks, farmers markets (example), and transit (example). Add a transit layer to immediately gauge its impact on the population"s grocery access. You can also use this map to see how it relates to communities of concern. Add a layer of any block group or tract demographics, such as Percent Senior Population (examples), or Percent of Households with Access to 0 Vehicles (examples). The layer is a useful visual resource for helping community leaders, business and government leaders see their town from the perspective of its residents, and begin asking questions about how their community could be improved. Data sourcesPopulation data is from the 2010 U.S. Census blocks. Each census block has a count of stores within a 10 minute walk, and a count of stores within a ten minute drive. Census blocks known to be unpopulated are given a score of 0. The layer is available as a hosted feature layer. Grocery store locations are from SafeGraph, reflecting what was in the data as of October 2020. Access to the layer was obtained from the SafeGraph offering in ArcGIS Marketplace. For this project, ArcGIS StreetMap Premium was used for the street network in the origin-destination analysis work, because it already has the necessary attributes on each street segment to identify which streets are considered walkable, and supports a wide variety of driving parameters. The walkable access layer and drivable access layers are rasters, whose colors were chosen to allow the drivable access layer to serve as backdrop to the walkable access layer. Data PreparationArcGIS Network Analyst was used to set up a network street layer for analysis. ArcGIS StreetMap Premium was installed to a local hard drive and selected in the Origin-Destination workflow as the network data source. This allows the origins (Census block centroids) and destinations (SafeGraph grocery stores) to be connected to that network, to allow origin-destination analysis. The Census blocks layer contains the centroid of each Census block. The data allows a simple popup to be created. This layer"s block figures can be summarized further, to tract, county and state levels. The SafeGraph grocery store locations were created by querying the SafeGraph source layer based on primary NAICS code. After connecting to the layer in ArcGIS Pro, a definition query was set to only show records with NAICS code 445110 as an initial screening. The layer was exported to a local disk drive for further definition query refinement, to eliminate any records that were obviously not grocery stores. The final layer used in the analysis had approximately 53,600 records. In this map, this layer is included as a vector tile layer. Methodology Every census block in the U.S. was assigned two access scores, whose numbers are simply how many grocery stores are within a 10 minute walk and a 10 minute drive of that census block. Every census block has a score of 0 (no stores), 1, 2 or more stores. The count of accessible stores was determined using Origin-Destination Analysis in ArcGIS Network Analyst, in ArcGIS Pro. A set of Tools in this ArcGIS Pro package allow a similar analysis to be conducted for any city or other area. The Tools step through the data prep and analysis steps. Download the Pro package, open it and substitute your own layers for Origins and Destinations. Parcel centroids are a suggested option for Origins, for example. Origin-Destination analysis was configured, using ArcGIS StreetMap Premium as the network data source. Census block centroids with population greater than zero were used as the Origins, and grocery store locations were used as the Destinations. A cutoff of 10 minutes was used with the Walk Time option. Only one restriction was applied to the street network: Walkable, which means Interstates and other non-walkable street segments were treated appropriately. You see the results in the map: wherever freeway overpasses and underpasses are present near a grocery store, the walkable area extends across/through that pass, but not along the freeway. A cutoff of 10 minutes was used with the Drive Time option. The default restrictions were applied to the street network, which means a typical vehicle"s access to all types of roads was factored in. The results for each analysis were captured in the Lines layer, which shows which origins are within the cutoff of each destination over the street network, given the assumptions about that network (walking, or driving a vehicle). The Lines layer was then summarized by census block ID to capture the Maximum value of the Destination_Rank field. A census block within 10 minutes of 3 stores would have 3 records in the Lines layer, but only one value in the summarized table, with a MAX_Destination_Rank field value of 3. This is the number of stores accessible to that census block in the 10 minutes measured, for walking and driving. These data were joined to the block centroids layer and given unique names. At this point, all blocks with zero population or null values in the MAX_Destination_Rank fields were given a store count of 0, to help the next step. Walkable and Drivable areas are calculated into a raster layer, using Nearest Neighbor geoprocessing tool on the count of stores within a 10 minute walk, and a count of stores within a ten minute drive, respectively. This tool uses a 200 meter grid and interpolates the values between each census block. A census tracts layer containing all water polygons "erased" from the census tract boundaries was used as an environment setting, to help constrain interpolation into/across bodies of water. The same layer use used to "shoreline" the Nearest Neighbor results, to eliminate any interpolation into the ocean or Great Lakes. This helped but was not perfect. Notes and LimitationsThe map provides a baseline for discussing access to grocery stores in a city. It does not presume local population has the desire or means to walk or drive to obtain groceries. It does not take elevation gain or loss into account. It does not factor time of day nor weather, seasons, or other variables that affect a person"s commute choices. Walking and driving are just two ways people get to a grocery store. Some people ride a bike, others take public transit, have groceries delivered, or rely on a friend with a vehicle. Thank you to Melinda Morang on the Network Analyst team for guidance and suggestions at key moments along the way; to Emily Meriam for reviewing the previous version of this map and creating new color palettes and marker symbols specific to this project. Additional ReadingThe methods by which access to food is measured and reported have improved in the past decade or so, as has the uses of such measurements. Some relevant papers and articles are provided below as a starting point. Measuring Food Insecurity Using the Food Abundance Index: Implications for Economic, Health and Social Well-BeingHow to Identify Food Deserts: Measuring Physical and Economic Access to Supermarkets in King County, WashingtonAccess to Affordable and Nutritious Food: Measuring and Understanding Food Deserts and Their ConsequencesDifferent Measures of Food Access Inform Different SolutionsThe time cost of access to food – Distance to the grocery store as measured in minutes

India Census: Population: Rural: Male: Age: 10 data was reported at 11,899,758.000 Person in 2011. This records a decrease from the previous number of 13,661,419.000 Person for 2001. India Census: Population: Rural: Male: Age: 10 data is updated yearly, averaging 11,899,758.000 Person from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 13,661,419.000 Person in 2001 and a record low of 11,865,707.000 Person in 1991. India Census: Population: Rural: Male: Age: 10 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.GAD003: Census: Population: by Single Age: Rural.

About this dataset

Context

The dataset tabulates the Ten Broeck population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Ten Broeck. The dataset can be utilized to understand the population distribution of Ten Broeck by age. For example, using this dataset, we can identify the largest age group in Ten Broeck.

Key observations

The largest age group in Ten Broeck, KY was for the group of age 50-54 years with a population of 9 (10.98%), according to the 2021 American Community Survey. At the same time, the smallest age group in Ten Broeck, KY was the 5-9 years with a population of 1 (1.22%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Ten Broeck is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Ten Broeck total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ten Broeck Population by Age. You can refer the same here

Analysis and Extracts

Graph and download economic data for New Privately Owned Housing Starts by Number of Units in Building, 10 to 19 Units in the West Census Region (HOUSTDTD1019UMWQ) from Q1 1999 to Q1 2025 about 10-19 unit structures, West Census Region, housing starts, privately owned, new, housing, and USA.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Dwelling

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: Yes - Households: Yes - Individuals: Yes - Group quarters: Yes

UNIT DESCRIPTIONS: - Dwellings: Separated or independent premises designed to lodge one or more private homes, such as: a neighborhood or residential house, shacks made of straw, palm or cane; an apartment; a hovel; a room with an independent entrance that is rented in a dwelling. - Group quarters: A group of persons without family ties between them, but who live together for reasons of discipline, health, education, religious life, work, such as: a group or body of nuns who reside usually in a convent; students in a boarding school; guests of a hotel; a group of elderly persons who reside in a nursing home; interns in jail.

Universe

All live individuals at midnight June 5, 2005

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics and Censuses

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center

SAMPLE UNIT: Dwelling

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 515,485

Mode of data collection

Face-to-face [f2f]

Research instrument

A single enumeration form requested information on the dwelling and household individuals.

Comprehensive population and demographic data for 10 Knd-A Village

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. Geographies: * Population of Canada, Provinces and Territories, Census Divisions and Census Subdivisions, 2016 Census; * Population of Canada, Provinces and Territories, Census Divisions, Census Subdivisions and Dissemination Areas, 2016 Census; * Population of Canada, Provinces and Territories, Census Metropolitan Areas and Census Agglomerations, 2016 Census; * Population of Census Metropolitan Areas, Tracted Census Agglomerations and Census Tracts, 2016 Census; * Population of Canada, Provinces and Territories and Federal Electoral Districts (2013 Representation Order), 2016 Census;

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: Yes - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No

UNIT DESCRIPTIONS: - Households: One of more individuals who normally reside together under the same roof and take food in the same kitchen, including temporary stay aways and excluding temporary visitors.

Universe

Not specified

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Sample Survey Organization, Government of India

SAMPLE DESIGN: Drawn by the NSSO, details not specified

SAMPLE UNIT: Household

SAMPLE FRACTION: .09%

SAMPLE SIZE (person records): 623,494

Mode of data collection

Face-to-face [f2f]

Research instrument

A single form that consists of 10 sections: 1) identification of sample household, 2) household characteristics, 3) demographic and current activity particulars during the preceding week, 4) demographic characteristics of migrants and their usual activity at the time of migration, 5) current activity of people in the labor force, 6) usual activity, 7) usual subsidiary gainful activity of persons who did not work, but not because of being old or disabled, 8) follow-up questions for persons whose principal activities were working, 9) persons who usually attended domestic duties, and 10) household indebtedness.

Brazil Population Census: Male: Age 10 to 14 Years data was reported at 8,725,413.000 Person in 2010. This records a decrease from the previous number of 8,777,639.000 Person for 2000. Brazil Population Census: Male: Age 10 to 14 Years data is updated yearly, averaging 8,751,526.000 Person from Jul 2000 (Median) to 2010, with 2 observations. The data reached an all-time high of 8,777,639.000 Person in 2000 and a record low of 8,725,413.000 Person in 2010. Brazil Population Census: Male: Age 10 to 14 Years 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.GAC003: Population Census: by Age and Sex.