This dataset is the definitive set of statistical area 2 (SA2) boundaries for 2020 as defined by Stats NZ. This version contains 2,255 SA2 categories.

SA2s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA2018) which replaced the New Zealand Standard Areas Classification (NZSAC1992). The SA2 geography replaces the (NZSAC1992) area unit geography.

SA2 is an output geography that provides higher aggregations of population data than can be provided at the statistical area 1 (SA1) level. The SA2 geography aims to reflect communities that interact together socially and economically. In populated areas, SA2s generally contain similar sized populations.

SA2s are built from SA1s and either define or aggregate to define urban rural areas, territorial authorities, and regional councils. SA2s in city council areas generally have a population of 2,000–4,000 residents while SA2s in district council areas generally have a population of 1,000–3,000 residents. In rural areas, many SA2s have fewer than 1,000 residents because they are in conservation areas or contain sparse populations that cover a large area.

Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Digital boundary data became freely available on 1 July 2007.

Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.

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The variables included in this dataset are for the census usually resident population count (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated).

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The variables for part 1 of the dataset are:

• Census usually resident population count
• Census night population count
• Age (5-year groups)
• Age (life cycle groups)
• Median age
• Birthplace (NZ born/overseas born)
• Birthplace (broad geographic areas)
• Ethnicity (total responses) for level 1 and ‘Other Ethnicity’ grouped by ‘New Zealander’ and ‘Other Ethnicity nec’
• Māori descent indicator
• Languages spoken (total responses)
• Official language indicator
• Gender
• Cisgender and transgender status – census usually resident population count aged 15 years and over
• Sex at birth
• Rainbow/LGBTIQ+ indicator for the census usually resident population count aged 15 years and over
• Sexual identity for the census usually resident population count aged 15 years and over
• Legally registered relationship status for the census usually resident population count aged 15 years and over
• Partnership status in current relationship for the census usually resident population count aged 15 years and over
• Number of children born for the sex at birth female census usually resident population count aged 15 years and over
• Average number of children born for the sex at birth female census usually resident population count aged 15 years and over
• Religious affiliation (total responses)
• Cigarette smoking behaviour for the census usually resident population count aged 15 years and over
• Disability indicator for the census usually resident population count aged 5 years and over
• Difficulty communicating for the census usually resident population count aged 5 years and over
• Difficulty hearing for the census usually resident population count aged 5 years and over
• Difficulty remembering or concentrating for the census usually resident population count aged 5 years and over
• Difficulty seeing for the census usually resident population count aged 5 years and over
• Difficulty walking for the census usually resident population count aged 5 years and over
• Difficulty washing for the census usually resident population count aged 5 years and over.

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Download lookup file for part 1 from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

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Footnotes

Te Whata

Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.

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Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

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Population counts

Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts.

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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Study participation time series

In the 2013 Census study participation was only collected for the census usually resident population count aged 15 years and over.

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About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Concept descriptions and quality ratings

Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.

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Disability indicator

This data should not be used as an official measure of disability prevalence. Disability prevalence estimates are only available from the 2023 Household Disability Survey. Household Disability Survey 2023: Final content has more information about the survey.

Activity limitations are measured using the Washington Group Short Set (WGSS). The WGSS asks about six basic activities that a person might have difficulty with: seeing, hearing, walking or climbing stairs, remembering or concentrating, washing all over or dressing, and communicating. A person was classified as disabled in the 2023 Census if there was at least one of these activities that they had a lot of difficulty with or could not do at all.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

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Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Measures

Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.

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Symbol

-997 Not available

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.

This dataset is the definitive version of annually released statistical area 2 (SA2) boundaries concorded to higher geographies for 2021 as defined by Stats NZ. this version contains 2,259 categories.

This statistical area 2 higher geographies file is a correspondence, or concordance, which relates SA2s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: territorial authority (TA) and regional council (REGC). For more information on the individual higher geographies, refer to each geography’s metadata.

SA2s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA2018) which replaced the New Zealand Standard Areas Classification (NZSAC1992). The SA2 geography replaces the (NZSAC1992) area unit geography.

Names are provided with and without tohutō/macrons, as applicable. Column names for those without macrons are suffixed ‘ascii’. For further information on individual higher geographies, refer to each geography’s metadata.

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Digital boundary data became freely available on 1 July 2007.

This lookup table relates to the web service 2018 Census individual part 2 by SA1. The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The individual (part 2) dataset is displayed by statistical area 1 geography and contains information on: • Religious affiliation (total responses) • Cigarette smoking behaviour • Difficulty seeing even if wearing glasses • Difficulty hearing even if using a hearing aid • Difficulty walking or climbing steps • Difficulty remembering or concentrating • Difficulty washing all over or dressing • Difficulty communicating using your usual language for example being understood by others • Legally registered relationship status • Partnership status in current relationship • Individual home ownership • Number of children born • Highest qualification • Study participation • Total personal income (grouped), including median total personal income • Sources of personal income (total responses) • Main means of travel to education, by usual residence address (2018 only) • Main means of travel to education, by educational institution address (2018 only)

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, and values of ‘Null’ indicate data not collected.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for individual part 2, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.

This is a CSV version of the Ward 2018 (generalised) layer.

This dataset contains the true centroid point layer for the annually released meshblock boundaries for 2022 as defined by Stats NZ (the custodian). The "true" centroid is the centre of mass of that polygon, such that if some flat substance of uniform thickness and density were cut into the shape of that polygon, then that object would balance at the centroid.

The centroid is a useful way of summarizing the locations of a set of polygons as points, particularly when used for comparative analysis. Note that the centroid could potentially fall outside the meshblock polygon, depending on the shape of the polygon.

The dataset contains the EASTING and NORTHING attributes of the centroid point in NZGD2000 New Zealand Transverse Mercator (EPSG:2193) and LATITUDE and LONGITUDE of the centroid point in decimal degrees in WGS1984 (EPSG:4326) projection. Non-digitised meshblocks cannot have a centroid.

Topicality: 01-01-2023Projection: New Zealand Transverse Mercator (NZTM)This layer contains the latest set of the functional urban areas as maintained by StatsNZ and defined by StatsNZ.The functional urban area (FUA) classification identifies small urban areas and rural areas that are integrated with major, large, and medium urban areas to create FUAs. The FUA classification uses the urban rural (UR) geography to demarcate urban areas, and statistical area 1 areas(SA1s) to demarcate surrounding hinterland (the commuting zone) within FUAs, and rural and water areas outside FUAs.This layer get updated yearly with the latest boundary data. You can use this layer when you need any year of boundary data in your map. By setting a filter on the dataset year you can filter on specific year of the dataset.For information about the fields in this dataset go to the Data tabFUA type (TFUA)FUAs are further categorised by population size. The urban core’s population rather than the entire FUA’s population is used to maintain consistency between the descriptions of UR urban area and FUA type. The categories are, by code: ​1. Metropolitan area – more than 100,000 residents living in the urban core2. Large regional centre – urban core population 30,000–99,9993. Medium regional centre – urban core population 10,000–29,9994. Small regional centre – urban core population 5,000–9,9999. Area outside functional urban area​The Greymouth urban area population is less than 10,000 but is classified as a medium regional centre, consistent with its treatment as a medium urban area in the UA classification. ​To differentiate from the UR classification, when referring to FUAs by name, their FUA type should also be mentioned, for example, Christchurch metropolitan area, Whangarei regional centre. ​FUA indicator (IFUA)The IFUA classifies UR2023 urban areas and rural SA1s according to their character within their FUA. The indicators, with their codes in brackets, are: urban area within functional urban area – urban core (101), secondary urban core (102), satellite urban area (103),rural area within functional urban area – hinterland (201)area outside functional urban area – land area outside functional urban area (901), water area outside functional urban area (902).About the layerThis layer get updated yearly with the latest boundary data.A layer with the full archive of the data for all the available years is available here.For information about the fields in this dataset go to the Data tab.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.The official dataset can be found on https://datafinder.stats.govt.nz.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

Important Note: This item is in mature support as of January 2024 and will retire in January 2025. When you need the most recent boundary layer please use this item. When you need the boundaries for a specific year, please use this item and set a filter on the required year.Topicality: 23-06-2022Projection: New Zealand Transverse Mercator (NZTM)NB: This layer will be deprecated when the official 2023 boundary layers are released.This dataset is the povisional 2023 dataset for Community Board. The final 2023 layer is scheduled to be published on 8 December 2022 as part of the annual boundary release.The intention of providing this provisional dataset is to make available the boundaries that will be used for the local body elections being held in October 2022.This layer is based on the provisional Community Boards boundaries for 2023. It contains the provisional set of Community Board boundaries as at 23 June 2022, clipped to the coastline.This clipped and generalized version has been created for map creation/cartographic purposes and does not fully represent the official full extent boundaries.This layer shows the provisional data for 2023. If you would like to use the layer that gets updated yearly with the latest boundary data, you can use this item.All the boundary layers can be found here.All the boundary layers that are updated yearly can be found here.The official dataset can be found on https://datafinder.stats.govt.nz.This layer contains the following attributes (see data tab):Community Board numberCommunity Board nameTotal area in square kilometersTotal land area in square kilometers.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

Important Note: This item is in mature support as of January 2024 and will retire in January 2025. When you need the most recent boundary layer please use this item. When you need the boundaries for a specific year, please use this item and set a filter on the required year.Topicality: 01-01-2019Projection: New Zealand Transverse Mercator (NZTM)This layer is based on the definitive set of regional council Māori constituency boundaries for 2019 as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian). Māori constituencies are established under the Local Electoral Act 2001 and result from the division of a region for electoral purposes.Māori constituencies are divisions of regional council areas. They are created, based on population, to be the voting areas within councils. Māori constituencies are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geography. If a regional council decides to have a Māori constituency, the constituencies within the council are known as general constituencies and Māori constituencies. Classifications exist annually from 2005 to 2019. The boundaries of Māori constituencies may be reviewed before each three yearly local government election. Regional councils must review their representation arrangements at least once every six years. The provisions for such reviews are contained in the Local Government Act 2002. Māori constituencies are numbered based on their corresponding regional council. Each Māori constituency has a unique four-digit code. The first two digits represent the regional council that the Māori constituency lies within. The last two digits are sequential and represent the number of Māori constituencies within a regional council. For example, the Waikato Regional Council (03) contains two Māori constituencies which are coded 0301 and 0302.The official dataset can be found on https://datafinder.stats.govt.nz.This layer contains the following attributes (see data tab):Māori Constituency codeMāori Constituency nameTotal area in square kilometersTotal land area in square kilometers.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

Important Note: This item is in mature support as of January 2024 and will retire in January 2025. When you need the most recent boundary layer please use this item. When you need the boundaries for a specific year, please use this item and set a filter on the required year.Topicality: 01-01-2020Projection: New Zealand Transverse Mercator (NZTM)This layer is based on the definitive set of Territorial Authority Subdivision boundaries for 2020 as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian). Subdivisions are set up under the Local Government Act 2002 and Local Electoral Act 2001. A subdivision is a division of a community or local board area for electoral purposes.Subdivisions are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geography. A number of territorial authorities do not have subdivisions, and if they do, the subdivisions do not necessarily cover the whole territorial authority area. Subdivisions nest within community or local boards. Where a community or local board is divided into subdivisions all of the community or local board area must be included in a subdivision.Subdivisions are numbered based on their corresponding territorial authority. Each subdivision has a unique five-digit number. The first three digits refer to the territorial authority that the subdivision lies within. The following two digits are sequential, and represent the number of subdivisions within the territorial authority. For example, Southland District (073) has two subdivisions numbered 07301 and 07302. The rest of the district is not represented by a subdivision and is coded 07399 (Area Outside Subdivision).The official dataset can be found on https://datafinder.stats.govt.nz.This layer contains the following attributes (see data tab):Territorial Authority Subdivision codeTerritorial Authority Subdivision nameTotal area in square kilometersTotal land area in square kilometers.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

Important Note: This item is in mature support as of January 2024 and will retire in January 2025. When you need the most recent boundary layer please use this item. When you need the boundaries for a specific year, please use this item and set a filter on the required year.Topicality: 01-01-2018This layer is based on the dataset TA2018_V1_00_Clipped retrieved from Stat NZ. It contains the major released version of the annually released territorial authority boundaries as at 1 January 2018, clipped to the coastline.This clipped version contains 67 territorial authorities and has been created for map creation/cartographic purposes and does not fully represent the official full extent boundaries.The official dataset can be found on https://datafinder.stats.govt.nz.This layer contains the Territorial Authority name and code and the total area and the total land area in square kilometers. The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

This dataset is the definitive set of meshblock boundaries as defined by Statistics New Zealand as at 1 January 2015.

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Statistics New Zealand maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time. A meshblock is the smallest geographic unit for which statistical data is collected and processed by Statistics New Zealand. A meshblock is defined by a geographic area, which can vary in size from part of a city block to a large area of rural land. Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone. Meshblocks are added together to build up larger geographic areas such as area units and urban areas. They are also used to define electoral districts, territorial authorities, and regional councils.

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There are two ways of amending meshblock boundaries.

1. Splitting is subdividing a meshblock into two or more meshblocks.
2. Nudging is shifting a boundary to a more appropriate position.

Reasons for splits and nudges include:

• to accommodate changes to local government boundaries, which are required by the Local Government Act 2002 to follow meshblocks for electoral purposes
• to accommodate changes to parliamentary electoral boundaries, following each Electoral Representation Commission review after each five-yearly Census of Population and Dwellings
• to make changes to statistical boundaries such as area units and urban areas
• to enable changes to census collection districts
• to improve the size balance of meshblocks in areas where there has been population growth
• to separate land and water – eg mainland, islands, inlets, and oceanic are defined separately.
• to accommodate requests from other users of the meshblock pattern eg the NZ Police for their station, area, and district boundaries.

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Meshblock numbering process until 2014 (MB 2014)

Meshblocks were allocated a unique seven-digit number. The first five digits were unique, and referred to the original 1976 meshblock code. The two end numbers refer to sequential meshblock splits to the original meshblock. When a meshblock is split the final two digits of the original meshblock number are changed. Exceptions to this rule are a small number of meshblocks where no more numbers in the sequence are available. Accordingly there were some meshblocks in Auckland and Tauranga City starting with 32xxxxx. Statistics New Zealand maintains a concordance file to ensure that boundaries relating to earlier meshblock patterns can also be produced.

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Meshblock numbering process from 2015 (MB 2015)

Due to new technology being introduced for splitting and nudging meshblocks, the process for allocating a unique seven-digit number has changed. New meshblock numbering is approximately sequential. The first meshblock number in this new sequential numbering pattern is 4000000. This differentiates meshblocks split from MB2015 onwards, and allows for a large number of unique seven digit identifiers to be allocated. Now when a meshblock is split it takes on the next available number, rather than following the former process described above.

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Digital geographic boundary data became freely available on 1 July 2007.

Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Male: From 15 to 64 Years for New Zealand (LREM64MANZQ156N) from Q1 1986 to Q1 2025 about New Zealand, employment-population ratio, 15 to 64 years, males, employment, population, and rate.

Graph and download economic data for Infra-Annual Labor Statistics: Employment Male: From 15 to 24 Years for New Zealand (LFEM24MANZQ647S) from Q1 1986 to Q1 2025 about New Zealand, 15 to 24 years, males, and employment.

New Zealand Accommodation Statistic: Length of Stay: Northland data was reported at 87.000 Night th in Aug 2018. This records a decrease from the previous number of 91.000 Night th for Jul 2018. New Zealand Accommodation Statistic: Length of Stay: Northland data is updated monthly, averaging 116.000 Night th from Jul 1996 (Median) to Aug 2018, with 266 observations. The data reached an all-time high of 380.000 Night th in Jan 1998 and a record low of 53.000 Night th in Jun 1998. New Zealand Accommodation Statistic: Length of Stay: Northland data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.Q020: Accommodation Statistics: Length of Stay.

New Zealand NZ: Completeness of Birth Registration: Female data was reported at 100.000 % in 2017. New Zealand NZ: Completeness of Birth Registration: Female data is updated yearly, averaging 100.000 % from Dec 2017 (Median) to 2017, with 1 observations. New Zealand NZ: Completeness of Birth Registration: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank.WDI: Population and Urbanization Statistics. Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered.; ; UNICEF's State of the World's Children based mostly on household surveys and ministry of health data.; ;

Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Female: From 15 to 64 Years for New Zealand (LFWA64FENZA647S) from 1986 to 2024 about New Zealand, working-age, 15 to 64 years, females, and population.

2018-2023 Statistics on the work of the Legal Department

About this dataset

Context

The dataset tabulates the population of Teller County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Teller County. The dataset can be utilized to understand the population distribution of Teller County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Teller County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Teller County.

Key observations

Largest age group (population): Male # 60-64 years (1,339) | Female # 60-64 years (1,457). 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

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Teller County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Teller County is shown in the following column.
• Population (Female): The female population in the Teller County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Teller County for each age group.

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 Teller County Population by Gender. You can refer the same here

Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.