Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of National City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for National City. The dataset can be utilized to understand the population distribution of National City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in National City. 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 National City.
Key observations
Largest age group (population): Male # 30-34 years (2,482) | Female # 10-14 years (2,264). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for National City Population by Gender. You can refer the same here
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Contains statistics on the UK's economy, industry, society and demography presented in easy to read tables and backed up with explanatory notes and definitions. It covers, among others, the following areas: area; parliamentary elections; defence; population and vital statistics; education; labour market; expenditure and wealth; health; crime and justice; lifestyles; environment, housing; transport and communications; government finance; agriculture, fisheries and food; production; banking and insurance and service industry.
Source agency: Office for National Statistics
Designation: National Statistics
Language: English
Alternative title: AA
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Exports: 1-Digit: Malaysia (MY) data was reported at 1.049 USD bn in May 2018. This records a decrease from the previous number of 1.097 USD bn for Apr 2018. Exports: 1-Digit: Malaysia (MY) data is updated monthly, averaging 845.764 USD mn from Jan 1985 (Median) to May 2018, with 401 observations. The data reached an all-time high of 1.349 USD bn in Mar 2011 and a record low of 92.800 USD mn in Dec 1985. Exports: 1-Digit: Malaysia (MY) data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA011: Trade Statistics: Census Basis: By Country: Exports: FAS.
The National Energy Efficiency Data-Framework (NEED) was set up to provide a better understanding of energy use and energy efficiency in domestic and non-domestic buildings in Great Britain. The data framework matches data about a property together - including energy consumption and energy efficiency measures installed - at household level.
We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The revisions are summarised here:
Error 2: Some properties incorrectly excluded from the Scotland multiple attributes tables
We identified 2 processing errors in this edition of the Domestic NEED Annual report and corrected them. The changes are small and do not affect the overall findings of the report, only the domestic energy consumption estimates. The impact of energy efficiency measures analysis remains unchanged. The revisions are summarised here:
These statistics include:
We are currently unable to provide figures on matches made against profiles on the National DNA Database.
https://webarchive.nationalarchives.gov.uk/20200702201509/https://www.gov.uk/government/statistics/national-dna-database-statistics" class="govuk-link">Statistics from Q1 2013 to Q4 2017 to 2018 are available on the National Archives.
Please note that figures for Q2 2014 to 2015 are unavailable. This is due to technical issues with the management information system.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Singapore SG: Refugee Population: by Country or Territory of Origin data was reported at 33.000 Person in 2016. This records a decrease from the previous number of 55.000 Person for 2015. Singapore SG: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 36.000 Person from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 116.000 Person in 2007 and a record low of 1.000 Person in 1993. Singapore SG: Refugee Population: by Country or Territory of Origin data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank: Population and Urbanization Statistics. Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of origin generally refers to the nationality or country of citizenship of a claimant.; ; United Nations High Commissioner for Refugees (UNHCR), Statistics Database, Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.org/en-us/figures-at-a-glance.html.; Sum;
Financial overview and grant giving statistics of 1776 Nation Inc
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Level - White (LNU00000003) from Jan 1954 to Jun 2025 about civilian, white, population, and USA.
The National Sample Survey of Registered Nurses (NSSRN) Download makes data from the survey readily available to users in a one-stop download. The Survey has been conducted approximately every four years since 1977. For each survey year, HRSA has prepared two Public Use File databases in flat ASCII file format without delimiters. The 2008 data are also offerred in SAS and SPSS formats. Information likely to point to an individual in a sparsely-populated county has been withheld. General Public Use Files are State-based and provide information on nurses without identifying the County and Metropolitan Area in which they live or work. County Public Use Files provide most, but not all, the same information on the nurse from the General Public Use File, and also identifies the County and Metropolitan Areas in which the nurses live or work. NSSRN data are to be used for research purposes only and may not be used in any manner to identify individual respondents.
Worldwide, the male population is slightly higher than the female population, although this varies by country. As of 2023, Hong Kong has the highest share of women worldwide with almost ** percent. Moldova followed behind with ** percent. Among the countries with the largest share of women in the total population, several were former Soviet-states or were located in Eastern Europe. By contrast, Qatar, the United Arab Emirates, and Oman had some of the highest proportions of men in their populations.
According to a survey from 2021, around 55 percent of the respondents from India were willing to share personal data. On the other hand, among the respondents from Japan, only 14 percent were willing to share personal data.
Nigeria administrative level 0-1 sex and age disaggregated 2022 population statistics projected from 2006 Census.
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Nigeria - Subnational Administrative Boundaries administrative level 0 to 2 and senatorial district shapefiles
See caveat.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
Graph and download economic data for Infra-Annual Labor Statistics: Employees Total for Denmark (LFESEETTDKQ647N) from Q1 1995 to Q4 2024 about Denmark and employment.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Unemployment Rate - With No Disability, 16 Years and over (LNU04074593) from Jun 2008 to Jun 2025 about disability, 16 years +, household survey, unemployment, rate, and USA.
https://datacatalog1.worldbank.org/public-licenses?fragment=cchttps://datacatalog1.worldbank.org/public-licenses?fragment=cc
National statistical systems are facing significant challenges. These challenges arise from increasing demands for high quality and trustworthy data to guide decision making, coupled with the rapidly changing landscape of the data revolution. To help create a mechanism for learning amongst national statistical systems, the World Bank has developed improved Statistical Performance Indicators (SPI) to monitor the statistical performance of countries. The SPI focuses on five key dimensions of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. This will replace the Statistical Capacity Index (SCI) that the World Bank has regularly published since 2004.
The SPI focus on five key pillars of a country’s statistical performance: (i) data use, (ii) data services, (iii) data products, (iv) data sources, and (v) data infrastructure. The SPI are composed of more than 50 indicators and contain data for 186 countries. This set of countries covers 99 percent of the world population. The data extend from 2016-2023, with some indicators going back to 2004.
For more information, consult the academic article published in the journal Scientific Data. https://www.nature.com/articles/s41597-023-01971-0.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This User Guide contains information about the NSPL including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. (File size - 226 KB)
Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Annual mid-year population estimates for those aged 90 years and over by sex and single year of age (90 to 104 years), and the 105 years and over age group, UK.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
NOS Forecast: Population: Age 75 to 79 data was reported at 1,363,000.000 Person in 2040. This records an increase from the previous number of 1,301,000.000 Person for 2039. NOS Forecast: Population: Age 75 to 79 data is updated yearly, averaging 822,000.000 Person from Jun 2017 (Median) to 2040, with 24 observations. The data reached an all-time high of 1,363,000.000 Person in 2040 and a record low of 489,626.000 Person in 2017. NOS Forecast: Population: Age 75 to 79 data remains active status in CEIC and is reported by National Office of Statistics. The data is categorized under Global Database’s Algeria – Table DZ.G002: Population: by Sex and Age: Forecast: National Office of Statistics.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The latest data for the measures of children’s well-being, complementing the UK Measures of National Well-being.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of National City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for National City. The dataset can be utilized to understand the population distribution of National City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in National City. 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 National City.
Key observations
Largest age group (population): Male # 30-34 years (2,482) | Female # 10-14 years (2,264). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Age groups:
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
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.
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/.
This dataset is a part of the main dataset for National City Population by Gender. You can refer the same here