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Context
The dataset tabulates the Des Plaines household income by age. The dataset can be utilized to understand the age-based income distribution of Des Plaines income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Des Plaines income distribution by age. You can refer the same here
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Germany DE: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data was reported at 98.997 % in 2022. This records a decrease from the previous number of 99.002 % for 2021. Germany DE: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 100.000 % from Dec 2004 (Median) to 2022, with 19 observations. The data reached an all-time high of 100.000 % in 2020 and a record low of 98.997 % in 2022. Germany DE: Educational Attainment: At Least Completed Primary: Population 25+ Years: Total: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed primary education.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;;
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Ce jeu de données provient de la Banque de Données Macro-économiques de l'INSEE. La BDM est la principale base de données de séries et indices sur l'ensemble des domaines économiques et sociaux. Elle met à disposition toutes les informations nécessaires au diagnostic conjoncturel, et plus généralement à l'analyse des fluctuations de l'activité économique, aux niveaux global et sectoriel, dans une présentation harmonisée, pour un ensemble de séries en provenance de sources multiples. Démographie des entreprises : Créations d'entreprises Défaillances d'entreprises
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Des Moines household income by age. The dataset can be utilized to understand the age-based income distribution of Des Moines income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Des Moines income distribution by age. You can refer the same here
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Graph and download economic data for All Employees: Government in Des Moines-West Des Moines, IA (MSA) (SMU19197809000000001A) from 1990 to 2024 about Des Moines, IA, government, employment, and USA.
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Germany DE: Secondary Education: Pupils data was reported at 6,828,088.500 Person in 2022. This records a decrease from the previous number of 6,851,760.000 Person for 2021. Germany DE: Secondary Education: Pupils data is updated yearly, averaging 7,824,020.000 Person from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 8,465,150.000 Person in 2002 and a record low of 6,828,088.500 Person in 2022. Germany DE: Secondary Education: Pupils data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Education Statistics. Secondary education pupils is the total number of pupils enrolled at secondary level in public and private schools.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Sum;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Germany DE: Adolescents Out of School: % of Lower Secondary School Age data was reported at 4.716 % in 2017. This records an increase from the previous number of 4.646 % for 2016. Germany DE: Adolescents Out of School: % of Lower Secondary School Age data is updated yearly, averaging 2.528 % from Dec 2002 (Median) to 2017, with 16 observations. The data reached an all-time high of 4.716 % in 2017 and a record low of 0.084 % in 2004. Germany DE: Adolescents Out of School: % of Lower Secondary School Age data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Education Statistics. Adolescents out of school are the percentage of lower secondary school age adolescents who are not enrolled in school.; ; UNESCO Institute for Statistics (http://uis.unesco.org/); Weighted Average;
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Germany DE: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Male: % Cumulative data was reported at 34.116 % in 2022. This records a decrease from the previous number of 34.240 % for 2021. Germany DE: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Male: % Cumulative data is updated yearly, averaging 30.280 % from Dec 2004 (Median) to 2022, with 19 observations. The data reached an all-time high of 34.240 % in 2021 and a record low of 27.030 % in 2006. Germany DE: Educational Attainment: At Least Competed Short-Cycle Tertiary: Population 25+ Years: Male: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Education Statistics. The percentage of population ages 25 and over that attained or completed short-cycle tertiary education.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;;
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United States Exports: 3-Digit: DE: Rice data was reported at 0.805 USD mn in May 2018. This records a decrease from the previous number of 0.855 USD mn for Apr 2018. United States Exports: 3-Digit: DE: Rice data is updated monthly, averaging 0.804 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 6.074 USD mn in Sep 1996 and a record low of 0.000 USD mn in Jan 1996. United States Exports: 3-Digit: DE: Rice data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA085: Trade Statistics: Germany: Exports: FAS: SITC.
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Germany DE: Adjusted Net Enrollment Rate: Primary: % of Primary School Age Children data was reported at 90.354 % in 2017. This records a decrease from the previous number of 90.624 % for 2016. Germany DE: Adjusted Net Enrollment Rate: Primary: % of Primary School Age Children data is updated yearly, averaging 88.190 % from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 90.624 % in 2016 and a record low of 82.936 % in 2001. Germany DE: Adjusted Net Enrollment Rate: Primary: % of Primary School Age Children data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Education Statistics. Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group.;UNESCO Institute for Statistics (http://uis.unesco.org/). Data as of February 2020.;Weighted average;
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the population of Odessa by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Odessa. The dataset can be utilized to understand the population distribution of Odessa by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Odessa. 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 Odessa.
Key observations
Largest age group (population): Male # 5-9 years (52) | Female # 65-69 years (21). 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 Odessa Population by Gender. You can refer the same here
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Graph and download economic data for All Employees: Trade, Transportation, and Utilities in Des Moines-West Des Moines, IA (MSA) (DESM719TRADN) from Jan 1990 to Apr 2025 about Des Moines, utilities, IA, trade, transportation, employment, and USA.
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United States Exports: 2-Digit: DE: Meat & Meat Preparations data was reported at 3.719 USD mn in May 2018. This records a decrease from the previous number of 4.397 USD mn for Apr 2018. United States Exports: 2-Digit: DE: Meat & Meat Preparations data is updated monthly, averaging 1.335 USD mn from Jan 1996 (Median) to May 2018, with 269 observations. The data reached an all-time high of 8.156 USD mn in Mar 2015 and a record low of 0.183 USD mn in Jan 1996. United States Exports: 2-Digit: DE: Meat & Meat Preparations data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA085: Trade Statistics: Germany: Exports: FAS: SITC.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the data for the Des Arc, MO population pyramid, which represents the Des Arc population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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 Des Arc Population by Age. You can refer the same here
The Togo EHCVM 2018/19 is implemented by the National institute of Statistics, Economical Studies and Demography (INSEED) with support from the World Bank and the WAEMU Commission. The objective of the program is to strengthen the capacity of its member countries (Benin, Burkina Faso, Cote d’Ivoire, Guinee Bissau, Mali, Niger, Senegal, and Togo) to conduct living conditions surveys that meet harmonized, regional standards and to make the collected micro-data publicly accessible. The EHCVM is a nationally representative survey of 6,100 households, which are also representative of the geopolitical zones (at both the urban and rural level).
The survey uses two main survey instruments: a household/individual questionnaire, and a community-level questionnaire. The surveys took place in two waves with each wave covering half of the sample. The first wave was fielded between September 2018 and December 2018, while the second wave occurred between April 2019 and June 2019. The two-wave approach was chosen to account for seasonality of consumption.
National coverage
The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.
Sample survey data [ssd]
The Togo EHCVM 2018/19 sample covers all regions with urban and rural areas surveyed in all regions except Lome Commune where all respondents are from rural areas.
Upon deciding on the sample size and repartition, the survey design team implemented a 2-stage sampling methodology. At the first stage, 540 enumeration areas (EAs) were selected from the sample frame. In the second stage, 12 households were selected in each enumeration area randomly.
The total survey sample size is 6171 households - 2270 from urban areas and 3901 from rural areas. After that, the survey design randomly divided each enumeration area into two equal groups. The survey team interrogated the first group in wave 1 and the other in wave 2. Finally, for various reasons, including availability and quality monitoring, the final sample size comprises more households (309) in round 2 than in round 1. In wave one, the survey teams interviewed 2931 households (1034 in urban areas and 1897 in rural areas. In wave two, the teams interviewed 3240 households (1236 in urban areas and 2004 in rural areas).
Computer Assisted Personal Interview [capi]
The Togo ECHVM 2018/19 consists of two questionnaires for each of the two visits. The Household Questionnaires was administered to all households in the sample. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.
EHCVM 2018/19 Household Questionnaire: The Households Questionnaire provides information on demographics; education; health; employment (including activity-related information, primary and secondary employments); nonjob revenues; saving and credit (including information for payments due for 15 years old members of the household); food consumption; food security; nonfood consumption; nonagricultural enterprises; housing; household’s assets; transfers (received and sent); shocks and survival strategies; safety nets; agriculture (including information on plots, costs of inputs, and crops); livestock; fishing; agricultural equipment; and a module that provides indicators to helps users situate the household on the poverty spectrum based on subjective considerations and comparative indicators.
EHCVM 2018/19 Community Questionnaire: The Community Questionnaire solicits information on general community’s characteristics; community access to infrastructure and to social services; community agricultural activity; community participation; and local retail price information.
https://www.ices.dk/Pages/library_policies.aspxhttps://www.ices.dk/Pages/library_policies.aspx
Fishery statistics for the International Council for the Exploration of the Sea (ICES) area were published from 1904 to 1989 under the title "Bulletin Statistique des Pêches Maritimes". The series was renamed "ICES Fisheries Statistics' and continued until 2001.This dataset contains figures per country, year, species and area for 1903–1949, extracted from that "Bulletin Statistique des Pêches Maritimes". Overviews on the mapping of species, ICES areas and country codes are also included. Comments attached to individual values from the original files per country can be found under "country_notes".The data represent the nominal commercial catch (live weight equivalent of landings, discards excluded) of finfish, invertebrates, and seaweeds. These catch data cover the ICES Area (Northeast Atlantic, FAO Area 27). The data are expressed in the live weight equivalent of landings. The reporting units are metric tonnes. Discarded catch and other quantities not landed are not included in the data. Whilst the data have been extensively checked by the supplying countries and ICES, data presented in the dataset are not corrected for non-reported landings where such may have occurred.Catch statistics from 1950 onward for EU countries, Norway, and Iceland can be accessed through Eurostat: https://ec.europa.eu/eurostat/web/fisheries/database
The Burkina Faso EHCVM-2 2021/22 is implemented by the National Institute of Statistics and Demography (INSD) with support from the World Bank and the WAEMU Commission. The objective of the program is to strengthen the capacity of the National Bureau of Statistics to conduct living conditions surveys that meet harmonized, regional standards and to make the collected micro-data publicly accessible.
The survey uses two main survey instruments: a household/individual questionnaire, and a community-level questionnaire. The cross-sectional survey took place in two waves, with each wave covering half of the sample. The first wave was fielded between September 2021 and November 2021, while the second wave occurred between April 2022 and June 2022. The two-waves approach was chosen to account for the seasonality of consumption.
National coverage
The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories.
Sample survey data [ssd]
The sampling frame of the EHCVM-2 consists of a list of all enumeration areas (EA) from the 2019 General Population and Housing Census. At the first stage, 600 EAs are selected proportionally based on their size in terms of the number of households derived from the mapping.
At the second stage, a sample of 7,200 households, which is 12 households per EA, are selected using equal probability systematic sampling in each enumeration area. The final size of the panel sample is 7,176 households, of which 3,585 were interviewed in the first wave and 3,591 in the second wave.
Computer Assisted Personal Interview [capi]
The Burkina Faso ECHVM-2 2021/22 consists of two questionnaires for each of the two visits. The Household Questionnaires were administered to all households in the sample. The Community Questionnaire was administered to the community to collect information on the socio-economic indicators of the enumeration areas where the sample households reside.
BFA EHCVM-2 2021/22 Household Questionnaire: The Households Questionnaire provides information on demographics; education; health; employment (including activity-related information, primary and secondary employments); nonjob revenues; saving and credit (including information for payments due for 15 years old members of the household); food consumption; food security; nonfood consumption; nonagricultural enterprises; housing; household’s assets; transfers (received and sent); shocks and survival strategies (including information on Covid-19 impacts); safety nets; agriculture (including information on plots, costs of inputs, and crops); livestock; fishing; agricultural equipment; and a module that provides indicators to helps users situate the household on the poverty spectrum based on subjective considerations and comparative indicators.
BFA EHCVM-2 2021/22 Community Questionnaire: The Community Questionnaire solicits information on general community’s characteristics; community access to infrastructure and to social services; community agricultural activity; community participation; and local retail price information.
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License information was derived automatically
Context
The dataset tabulates the population of Prairie du Chien town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Prairie du Chien town. The dataset can be utilized to understand the population distribution of Prairie du Chien town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Prairie du Chien 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 Prairie du Chien town.
Key observations
Largest age group (population): Male # 70-74 years (58) | Female # 55-59 years (47). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Prairie du Chien town Population by Gender. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Imports: CIF: 1-Digit: DE: Manufactured Goods data was reported at 1.057 USD bn in Oct 2018. This records an increase from the previous number of 969.789 USD mn for Sep 2018. United States Imports: CIF: 1-Digit: DE: Manufactured Goods data is updated monthly, averaging 678.125 USD mn from Jan 1996 (Median) to Oct 2018, with 274 observations. The data reached an all-time high of 1.080 USD bn in Aug 2018 and a record low of 303.245 USD mn in Jan 1999. United States Imports: CIF: 1-Digit: DE: Manufactured Goods data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.JA053: Trade Statistics: Germany: Imports: CIF: SITC.
Financial overview and grant giving statistics of West Des Moines Education Association
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Des Plaines household income by age. The dataset can be utilized to understand the age-based income distribution of Des Plaines income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
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/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Des Plaines income distribution by age. You can refer the same here