Prevalence of Undernourishment (% of Population) by country for 2013. This is a filtered layer based on the "Undernourished population by country, 2000-2010 time series" layer.This data shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. For example, 7.5 means less than 7.5% of the population is undernourished.Data sources: Food and Agriculture Organization (FAO) of the United Nations (http://www.fao.org/publications/en/) via World Bank (World DataBank) and FAOSTAT, Country shapes from Natural Earth 50M scale data.
In 2013, the total number of women aged 15 to 49 years worldwide was *** billion. In 2017 it was estimated that this number would increase to almost ****billion by 2025. The U.S. accounted for a small proportion of the total number of women globally in 2013 with just **** million. Global demographics In 2024, the total global population at approximately **** billion people. In 2024, the continent with the largest proportion of the global population was Asia, followed by Africa. While North America and Oceania were some of the least populated areas of the world. The age distribution of the population varies by region as well. For example, the percentage of the global population between the ages of 15 and 64 years varies between ** percent and ** percent. Women’s health worldwide Women face different health challenges depending on the region and country. One important global health issue is maternal mortality. The country with the highest maternal mortality rate in 2023 was Nigeria. Chad had the seventh-highest estimated birth rate in 2024 and was the country with the second-highest maternal mortality rate. The United States has one of the highest maternal mortality rates when compared to similarly developed countries.
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Contact: Human Geography, Geospatial Science and Human Security Division, Oak Ridge National Laboratory
Address: landscan@ornl.gov
Online Resource: https://landscan.ornl.gov
Standard Name: ISO 19139 Geographic Information - Metadata - Implementation Specification
Standard Version: 2007
Title: LandScan Global 2013
Publication Date: 2014-07-01
Creation Date: Human Geography, Geospatial Science and Human Security Division, Oak Ridge National Laboratory
Other Citation Details: https://doi.org/10.48690/1524208
Abstract: Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL’s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an “ambient population” (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. By modeling an ambient population, LandScan Global captures the full potential activity space of people throughout the course of the day and night rather than just a residential location.
Purpose: LandScan Global was developed on behalf of the U.S. federal government and is used for rapid consequence and risk assessment as well as emergency planning and management.
Credit: Human Geography, Geospatial Science and Human Security Division, Oak Ridge National Laboratory; US DOD
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Human Development Index by country for 2013. This is a filtered layer based on the "Human Development Index by country, 1980-2010 time-series" layer.The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $).The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values:
Very High Human Development: 0.736 and higher High Human Development: 0.615 to 0.735 Medium Human Development: 0.494 to 0.614 Low Human Development: 0.493 and lower
Country shapes from Natural Earth 50M scale data. Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division (2014), World Bank (2014) and IMF (2014).
The population explosion has been a serious topic for years and this data set helps us to analyze that on a granular level.
This dataset contains data about the population count and census data for each country in the world. The data set spans from 1950 to 2013. This data set is acquired from "data.world" website and all the credits go to them
Denmark has, by far, the highest population density of the Nordic countries. This is related to the fact that it is the smallest Nordic country in terms of land area. Meanwhile, Iceland, which has the smallest population of the five countries, also has the lowest population density. As the total population increased in all five countries over the past decade, the population density also increased.
Estimated total number of people per grid-cell. The dataset is available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc (approximately 1km at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects). The mapping approach is Random Forest-based dasymetric redistribution.
Official statistics are produced impartially and free from political influence.
Estimated population density per grid-cell. The dataset is available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc (approximately 1km at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per square kilometre based on country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects). The mapping approach is Random Forest-based dasymetric redistribution.
In 2023, the global population increased by **** percent, while plastic production increased **** percent. Production reached a high within the period in 2016, amounting to a growth rate of **** percent.
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<ul style='margin-top:20px;'>
<li>Total population for China in 2024 was <strong>1,425,178,782</strong>, a <strong>1.03% increase</strong> from 2023.</li>
<li>Total population for China in 2023 was <strong>1,410,710,000</strong>, a <strong>0.1% decline</strong> from 2022.</li>
<li>Total population for China in 2022 was <strong>1,412,175,000</strong>, a <strong>0.01% decline</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
https://www.icpsr.umich.edu/web/ICPSR/studies/36209/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36209/terms
The purpose of the Survey of Jails in Indian Country is an enumeration of all known adult and juvenile facilities -- jails, confinement facilities, detention centers, and other correctional facilities operated by tribal authorities or the Bureau of Indian Affairs (BIA), United States Department of the Interior. For the purpose of this collection, Indian country includes reservations, pueblos, rancherias, and other Native American and Alaska Native communities throughout the United States. The survey collects data on the number of adults and juveniles held on the last weekday in June 2013, type of offense, average daily population in June, most crowded day in June, admissions and releases in June, number of inmate deaths and suicide attempts, rated capacity, and jail staffing.
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Description to be added
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Context
The dataset tabulates the Country Club Hills population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Country Club Hills across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2022, the population of Country Club Hills was 16,170, a 1.55% decrease year-by-year from 2021. Previously, in 2021, Country Club Hills population was 16,424, a decline of 1.74% compared to a population of 16,715 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Country Club Hills decreased by 62. In this period, the peak population was 17,081 in the year 2013. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
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 Country Club Hills Population by Year. You can refer the same here
To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, and migration from the March Annual Demographic Supplement and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently.
To provide estimates of employment, unemployment, and other characteristics of the general labor force, of the population as a whole, and of various subgroups of the population. Monthly labor force data for the country are used by the Bureau of Labor Statistics (BLS) to determine the distribution of funds under the Job Training Partnership Act. These data are collected through combined computer-assisted personal interviewing (CAPI) and computer-assisted telephone interviewing (CATI). In addition to the labor force data, the CPS basic funding provides annual data on work experience, income, and migration from the March Annual Demographic Supplement and on school enrollment of the population from the October Supplement. Other supplements, some of which are sponsored by other agencies, are conducted biennially or intermittently.
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Iceland IS: Refugee Population: by Country or Territory of Origin data was reported at 1.000 Person in 2014. This records a decrease from the previous number of 2.000 Person for 2013. Iceland IS: Refugee Population: by Country or Territory of Origin data is updated yearly, averaging 5.000 Person from Dec 1996 (Median) to 2014, with 18 observations. The data reached an all-time high of 31.000 Person in 2006 and a record low of 1.000 Person in 2014. Iceland IS: 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 Iceland – Table IS.World Bank.WDI: 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;
This statistic shows the employment to population ratio in the Asia Pacific region for 2013, by country. In that year, 65.6 percent of the population at the age of 15 and above were employed.
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China Population: Age 0 to 15 data was reported at 239.990 Person mn in 2024. This records a decrease from the previous number of 247.890 Person mn for 2023. China Population: Age 0 to 15 data is updated yearly, averaging 247.540 Person mn from Dec 2013 (Median) to 2024, with 12 observations. The data reached an all-time high of 268.707 Person mn in 2020 and a record low of 238.750 Person mn in 2013. China Population: Age 0 to 15 data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population.
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<ul style='margin-top:20px;'>
<li>Total population for Italy in 2024 was <strong>58,697,744</strong>, a <strong>0.5% decline</strong> from 2023.</li>
<li>Total population for Italy in 2023 was <strong>58,993,475</strong>, a <strong>0.03% decline</strong> from 2022.</li>
<li>Total population for Italy in 2022 was <strong>59,013,667</strong>, a <strong>0.2% decline</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.
Prevalence of Undernourishment (% of Population) by country for 2013. This is a filtered layer based on the "Undernourished population by country, 2000-2010 time series" layer.This data shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. For example, 7.5 means less than 7.5% of the population is undernourished.Data sources: Food and Agriculture Organization (FAO) of the United Nations (http://www.fao.org/publications/en/) via World Bank (World DataBank) and FAOSTAT, Country shapes from Natural Earth 50M scale data.