The number of children missing education at the census date in each term. Includes Autumn 2022 to Autumn 2023.

About this dataset

Context

The dataset tabulates the Day town 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 Day town. The dataset can be utilized to understand the population distribution of Day town by age. For example, using this dataset, we can identify the largest age group in Day town.

Key observations

The largest age group in Day, New York was for the group of age 60 to 64 years years with a population of 154 (18.16%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Day, New York was the 5 to 9 years years with a population of 3 (0.35%). 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 Day town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Day town 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 Day town Population by Age. You can refer the same here

The Department of Health requires nursing homes to complete electronic filing of each facility's licensed nursing home beds and availability by bed category on a weekly basis. All nursing homes are requested to submit their Weekly Bed Census between Wednesday and Friday of each week, based on the census at 12:00 AM on Wednesday night.

The Nursing Home Census- Historic data is the most comprehensive nursing home data available and is suitable for trending.

Available Bed and Occupancy information is self-reported, and is not audited by the NYSDOH.

For more information, check out http://nursinghomes.nyhealth.gov/, or go to the "About" tab.

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Census 2021 data of the industry of people’s last main job who were not employed on census day. This dataset is at the division level of the Standard Industrial Classification.

Abstract

The census date was midnight, the 23rd of July 2018.

The Census is the official count of population, household and dwellings in Wallis & Futuna and it gives a general overview of the country at one specific point in time: 23rd of July 2018. Since 1969 until 2003, Census has been taken once in every 7 or 6 years and every 5 years from 2003.

The census can be the source of information for allocation of public funding, more particularly in areas such as health, education and social policy. The main users of the information provided by the Census are the government, education facilities (such as schools and tertiary organizations), local authorities, businesses, community organizations and the public in general.

The objectives of Census changed over time shifting from earlier years where they were essentially household registrations and counts, to now where a national population census stands supreme as the most valuable single source of statistical data for Wallis & Futuna. This Census allowed to determine the legal population of Wallis and Futuna in all geographical aspects: Wallis island, Futuna island, the 3 "circonsriptions" (Alo, Sigave, Uvea) and 5 districts (Alo, Sigave, Hahake, Hihifo, Mua).

Census data is now widely used to evaluate: - The availability of basic household needs in key sectors, to identify disadvantaged areas and help set priorities for action plans; - Benefits of development programmes in particular areas, such as literacy, employment and family planning;

In addition, census data is useful to asses manpower resources, identify areas of social concern and for the improvement in the social and economic status of women by giving more information about this part of the population and formulating housing policies and programmes and investment of development funds.

Geographic coverage

National coverage.

Analysis unit

Households and Individuals.

Universe

The Census is covering all people alive on the reference date (23rd of July 2018), that are usually living in Wallis and Futuna - whichever nationality they are, for at least 12 months. The Census covered all household and communitiy members. Communities are considered to be: boarding schools, gendarmerie, retirement homes, religious communities, but also people living in mobile dwelling (e.g. boats) and homeless people.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not applicable as it is a full coverage.

Mode of data collection

Face-to-face [f2f]

Research instrument

There are two types of questionnaire for this Census:

Individual sheet (Feuille de Logement or "FL"): describing the dwelling characteristics and enlisting all the individuals living in it; Individual form (Bulletin Individuel or "BI"): information on each individual that are usually living in the household.

The questionnaires were distributed in French and are available in the "External Resources" section.

Cleaning operations

Data editing was done by SPC in collaboration with Wallis and Futuna NSO.

Sampling error estimates

Not applicable.

This file is a best fit lookup between output areas (December 2011) and local authority districts (December 1961) in England and Wales (File Size - 3 MB)Field Names - OA11CD, LAD61CD, LAD61NM, FIDField Types - Text, Text, TextField Lengths - 9, 9, 42FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal.

This file is a best fit lookup between output areas (December 2011) and local authority districts (December 1961) in England and Wales (File Size - 3 MB)Field Names - OA11CD, LAD61CD, LAD61NM, FIDField Types - Text, Text, TextField Lengths - 9, 9, 42FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal.

Public Law 94-171, enacted in 1975, directs the Census Bureau to make special preparations to provide redistricting data needed by the 50 states. It specifies that within a year following Census Day, the Census Bureau must send the governor and legislative leadership in each state the data they need to redraw districts for the United States Congress and state legislature. To meet this legal requirement, the Census Bureau set up a program that affords state officials an opportunity before each decennial census to define the small areas for which they wish to receive census population totals for redistricting purposes. Officials may receive data for voting districts (e.g., election precincts, wards) and state house and senate districts, in addition to standard census geographic areas such as counties, cities, census tracts, and tabulation blocks. State participation in defining areas is voluntary and nonpartisan.

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This layer serves as the authoritative geographic data source for California's K-12 public school locations during the 2024-25 academic year. Schools are mapped as point locations and assigned coordinates based on the physical address of the school facility. The school records are enriched with additional demographic and performance variables from the California Department of Education's data collections. These data elements can be visualized and examined geographically to uncover patterns, solve problems and inform education policy decisions.The schools in this file represent a subset of all records contained in the CDE's public school directory database. This subset is restricted to TK-12 public schools that were open in October 2024 to coincide with the official 2024-25 student enrollment counts collected on Fall Census Day in 2024 (first Wednesday in October). This layer also excludes nonpublic nonsectarian schools and district office schools.The CDE's California School Directory provides school location other basic school characteristics found in the layer's attribute table. The school enrollment, demographic and program data are collected by the CDE through the California Longitudinal Achievement System (CALPADS) and can be accessed as publicly downloadable files from the Data & Statistics web page on the CDE website. Schools are assigned X, Y coordinates using a quality controlled geocoding and validation process to optimize positional accuracy. Most schools are mapped to the school structure or centroid of the school property parcel and are individually verified using aerial imagery or assessor's parcels databases. Schools are assigned various geographic area values based on their mapped locations including state and federal legislative district identifiers and National Center for Education Statistics (NCES) locale codes.

Census 2021 data outlining the employment history of those not in employment on census day, including estimates by personal characteristics and reason for not being employed.

Graph and download economic data for Expenses for Child Day Care Services, Establishments Exempt From Federal Income Tax, Employer Firms (CDCSEEEFFIT36244) from 1998 to 2022 about exemptions, day care, employer firms, establishments, child, tax, expenditures, federal, income, services, and USA.

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Graph and download economic data for Total Expenses for Child Day Care Services, Establishments Exempt from Federal Income Tax (EXP6244TAXEPT144QNSA) from Q1 2009 to Q1 2025 about tax exempt, day care, establishments, child, tax, expenditures, federal, income, and USA.

Census 2021 data outlining the last main occupation of those who were not employed on census day. Data is at one digit level of the Standard Occupation Classification.

About this dataset

Context

The dataset tabulates the population of Day town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Day town. The dataset can be utilized to understand the population distribution of Day town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Day town. 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 Day town.

Key observations

Largest age group (population): Male # 60-64 years (70) | Female # 60-64 years (84). 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 Day town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Day town is shown in the following column.
• Population (Female): The female population in the Day town 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 Day town 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 Day town Population by Gender. You can refer the same here

Graph and download economic data for Total Expenses for Child Day Care Services, Establishments Subject to Federal Income Tax (EXP6244TAXABL157QNSA) from Q2 2009 to Q4 2023 about day care, establishments, child, tax, expenditures, federal, income, rate, and USA.

Graph and download economic data for Estimate, Median Age by Sex, Total Population (5-year estimate) in Day County, SD (B01002001E046037) from 2009 to 2023 about Day County, SD; SD; age; 5-year; median; and USA.