The total population in the United States was estimated at 341.2 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - United States Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

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

Key observations

The largest age group in Parker County, TX was for the group of age 10 to 14 years years with a population of 11,445 (7.57%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Parker County, TX was the 85 years and over years with a population of 1,900 (1.26%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Parker County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Parker County 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 Parker County Population by Age. You can refer the same here

Historical chart and dataset showing total population for the United States by year from 1950 to 2025.

Abstract

This dataset includes all individuals from the 1870 US census.

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Documentation

This dataset was developed through a collaboration between the Minnesota Population Center and the Church of Jesus Christ of Latter-Day Saints. The data contain demographic variables, economic variables, migration variables and race variables. Unlike more recent census datasets, pre-1900 census datasets only contain individual level characteristics and no household or family characteristics, but household and family identifiers do exist.

The official enumeration day of the 1870 census was 1 June 1870. The main goal of an early census like the 1870 U.S. census was to allow Congress to determine the collection of taxes and the appropriation of seats in the House of Representatives. Each district was assigned a U.S. Marshall who organized other marshals to administer the census. These enumerators visited households and recorder names of every person, along with their age, sex, color, profession, occupation, value of real estate, place of birth, parental foreign birth, marriage, literacy, and whether deaf, dumb, blind, insane or “idiotic”.

Sources: Szucs, L.D. and Hargreaves Luebking, S. (1997). Research in Census Records, The Source: A Guidebook of American Genealogy. Ancestry Incorporated, Salt Lake City, UT Dollarhide, W.(2000). The Census Book: A Genealogist’s Guide to Federal Census Facts, Schedules and Indexes. Heritage Quest, Bountiful, UT

A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

About this dataset

Context

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

Key observations

Largest age group (population): Male # 20-24 years (1,866) | Female # 15-19 years (1,900). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Teaneck township population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Teaneck township is shown in the following column.
• Population (Female): The female population in the Teaneck township 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 Teaneck township 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 Teaneck township Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Lee''S Summit, MO was for the group of age 10 to 14 years years with a population of 8,378 (8.17%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Lee''S Summit, MO was the 80 to 84 years years with a population of 1,900 (1.85%). 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 Lee'S Summit is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Lee'S Summit 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 Lee'S Summit Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Hermiston, OR was for the group of age 10 to 14 years years with a population of 1,900 (9.86%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Hermiston, OR was the 80 to 84 years years with a population of 223 (1.16%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Hermiston is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Hermiston 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 Hermiston Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 10-14 years (1,850) | Female # 55-59 years (1,900). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Schertz population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Schertz is shown in the following column.
• Population (Female): The female population in the Schertz 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 Schertz 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 Schertz Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 60-64 years (1,900) | Female # 65-69 years (1,909). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 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 Itasca County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Itasca County is shown in the following column.
• Population (Female): The female population in the Itasca 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 Itasca 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 Itasca County Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Tenafly, NJ was for the group of age 10 to 14 years years with a population of 1,900 (12.46%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Tenafly, NJ was the 75 to 79 years years with a population of 239 (1.57%). 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 Tenafly is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Tenafly 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 Tenafly Population by Age. You can refer the same here

This dataset offers a comparative snapshot of the social composition in two transatlantic port districts by documenting over 5,600 individuals who lived in the main thoroughfares of Antwerp (Schippersstraat, Vingerlingstraat, and Oudemansstraat, located in the Schipperskwartier) and Boston (North Street, situated in the North End) in 1880 and 1900. Based on Belgian population registers and U.S. census records, it includes data on name, sex, year of birth and age, birthplace, marital status, relationship to the household head, occupation, race, and birthplaces of parents. As the two sources sometimes contain different variables or use differing classifications, the available data may vary between the Belgian and American cases. The dataset was created in the context of the postdoctoral research project at the University of Antwerp (Belgium), Rethinking “Sailortown:” Comparing the Socioeconomic Dynamics of Harbour Districts in Antwerp and Boston, 1850-1930, funded by the Research Foundation – Flanders, grant number 12X1822N. It was used in the peer-reviewed article “Unpacking the Town within Sailortown: The Port District Neighborhoods of Antwerp and Boston, c. 1880-1900,” Journal of Urban History.

ReadMe File for PADDDtracker.org Data Release Version 2.1

Prepared by Conservation International, May 2021

Thank you for downloading the PADDDtracker.org Data Release Version 2.1. This dataset includes data on Protected Area Downgrading, Downsizing, and Degazettement (PADDD). Most data have been validated by peer-review, with the limited exception of newly added data from the United States and Brazil; see below for further details and links to publications.

Definitions for Protected Area Downgrading, Downsizing, and Degazettement (PADDD):

• Downgrading: A decrease in legal restrictions on the number, magnitude, or extent of human activities within a protected area by a relevant authority
• Downsizing: A decrease in the size of a protected area as a result of excision of land or sea area through a legal boundary change
• Degazettement: A loss of legal status of a protected area under government administration (national, state, provincial or local)

This data release contains data from the following peer-reviewed studies:

• M.B. Mascia, S. Pailler, Protected area downgrading, downsizing, and degazettement (PADDD) and its conservation implications. Conservation Letters. 4, 9–20 (2011). DOI: 10.1111/j.1755-263X.2010.00147.x .
• M.B. Mascia et al., Protected area downgrading, downsizing, and degazettement (PADDD) in Africa, Asia, and Latin America and the Caribbean, 1900–2010. Biological Conservation. 169, 355–361 (2014). DOI: 10.1016/j.biocon.2013.11.021 .
• J.L. Forrest et al., Tropical deforestation and carbon emissions from protected area downgrading, downsizing, and degazettement (PADDD). Conservation Letters. 8, 153–161 (2015). DOI: 10.1111/conl.12144 .
• S.M. Pack et al., Protected area downgrading, downsizing, and degazettement (PADDD) in the Amazon. Biological Conservation. 197, 32–39 (2016). DOI: 10.1016/j.biocon.2016.02.004.
• R.E. Golden Kroner, R. Krithivasan, M.B. Mascia, Effects of protected area downsizing on habitat fragmentation in Yosemite National Park (USA), 1864 - 2014. Ecology and Society. 21 (2016). DOI: 10.5751/ES-08679-210322.
• C.N. Cook, R.S. Valkan, M.B. Mascia, M.A. McGeoch, Quantifying the extent of protected-area downgrading, downsizing, and degazettement in Australia. Conservation Biology. 31, 1039–1052 (2017). DOI: 10.1111/cobi.12904.
• R.E. Golden Kroner et al., The uncertain future of protected lands and waters. Science. 31, 364 (6443), 881-886 (2019). DOI: 10.1126/science.aau5525.
• T. Dorji, S. Linke, F. Sheldon, Half century of protected area dynamism in the country of Gross National Happiness, Bhutan. Conservation Science and Practice. (2019). DOI: 10.1111/csp2.46.
• A. De Vos, H. Clements, D. Biggs, G.S. Cumming, The dynamics of proclaimed privately protected areas in South Africa over 83 years. Conservation Letters. 12 (6) (2019). DOI: 10.1111/conl.12644.
• R. Albrecht, C.N. Cook, O. Andrews, K.E. Roberts, M.F.J. Taylor, M.B. Mascia, R.E. Golden Kroner, Protected area downgrading, downsizing, and degazettement (PADDD) in marine protected areas. Marine Policy. 129 (2021). 104437, ISSN 0308-597X. DOI: 10.1016/j.marpol.2021.104437.

Please contact paddd.team@gmail.com to request full text versions of publications if not otherwise open access.

Please note that 353 (7% of) records in the database (new records from the United States and Brazil) have not yet been validated by peer review; see Olsson et al. 2021 for more information about these data:

• Olsson, E., Albrecht, R., & Golden Kroner, R.E. (2021). PADDDtracker Data Release Version 2.1: Technical Notes. Conservation International, Arlington, VA. DOI: 10.5281/zenodo.4749615.

Differences between Version 2.1 and previous data releases:

PADDDtracker data release Version 2.1 contains 21 new fields:

• Sys_Code
• Map_Details
• Map_Source
• Notes
• Last_Update
• AddedBy
• isLatestVe
• Data_Status
• Peer_Reviewed
• Study_Link
• Off_Type
• Off_Area
• Off_Details
• Off_Source
• Rev_Type
• Rev_Area
• Rev_Details
• Rev_Source
• Legal_Type
• Marine
• Marine_ZID

Two fields included in the previous data release have been archived; these are both out-of-date ID fields that are no longer necessary to retain.

• PADDDIDOld
• GID_String

Version history

• Version 1.0 was released in January 2014, and contains 601 PADDD events from Africa, Asia, Latin America and the Caribbean, spanning from 1900 to 2012.
• Version 1.1 was released in January 2017, and contains a total of 721 PADDD events, including updated data from version 1.0 as well as additional PADDD events in the Democratic Republic of the Congo, Peru and Brazil, spanning from 1900 to 2016.
• Version 2.0 was released in May 2019, and contains a total of 4597 PADDD events, including updated PADDD events from previous data releases (1.0 and 1.1), and new records from around the world (Africa, Asia, Australia, Europe, Latin America and the Caribbean, North America).
• Version 2.1 contains a total of 4962 PADDD events, including updated data from version 2.0 as well as additional PADDD events in Australia, Brazil, Bhutan, Palau, South Africa, and the United States. It also includes several new fields for supporting details data, including for offsets and reversals. Please consult the Field Definitions PDF and/or Olsson et al. 2021 in the data release package for information on these new field names, field name definitions, data values, and clarifications.

In the folder PADDDtracker_DataReleaseV2_1_2021, you will find:

PADDDtracker_DataReleaseV2_1_2021.xlsx: this Excel file contains data on all known PADDD events, including numerical and categorical data. This includes data on location, dates, areas, IUCN categories, proximate causes and other descriptive attributes associated with PADDD events. The file contains the following tabs:

• ReadMe: introduction to dataset.
• FieldDefinitions: contains definitions for all fields (attributes) in the database.
• PADDDEvents: Dataset of known enacted and proposed PADDD events, including attributes describing location, timing, proximate causes, and associated supporting information and sources. The Supporting Details and References are omitted from the shapefile, as the text exceeds the character limit.
• PADDDReversals: information about location, dates, etc. on PADDD events with full or partial reversals for which spatial data are available. The Supporting Details and References are omitted from the shapefile, as the text exceeds the character limit.
• PADDDOffsets: information about location, dates, etc. on PADDD events with known spatial or regulatory offsets for which spatial data are available. The Supporting Details and References are omitted from the shapefile, as the text exceeds the character limit.
• PADDDMPAZones: information about location, dates, zone name(s), and other descriptive information on PADDD events in marine protected areas (MPAs) in cases where MPAs were split into two or more use zones (see FieldDefinitions tab for zone domain values). The Supporting Details and References are omitted from the shapefile, as the text exceeds the character limit.

Primary GIS Datasets:

• PADDDtracker_DataReleaseV2_1_2021_Pts.shp: This shapefile contains point data for all validated PADDD events corresponding with the accompanying Excel sheet.

Please note that for an event for which the exact location is unknown, it is represented by a point placed either at the PA centroid or within the PA extent if a multipart polygon (for downgrades or downsizes), or on the capital city of the country. If using PADDD events data for spatially explicit analyses for which locations of event areas are necessary, please use the field “Location_K” as a filter to remove events with unknown locations.

• PADDDtracker_DataReleaseV2_1_2021_Poly.shp: This shapefile contains validated polygon data for PADDD events corresponding with the accompanying Excel sheet.

Supplemental GIS Datasets:

• PADDDtracker_DataReleaseV2_1_2021_Pts_Reversals.shp: Point shapefile of reversals to PADDD events.
• PADDDtracker_DataReleaseV2_1_2021_Poly_Reversals.shp: Polygon shapefile of reversals to PADDD events.
• PADDDtracker_DataReleaseV2_1_2021_Poly_Offsets.shp: Polygon shapefile of offsets to PADDD events.
• PADDDtracker_DataReleaseV2_1_2021_Poly_MPAZones.shp: Polygon shapefile of zoning changes that constitute PADDD events.

Additional Resources

• PADDDtracker Technical Guide V2, 2020: contains guidance for researchers to collect PADDD data.
• PADDDtracker Data Release 2.1 Technical Note, 2021: provides more details on PADDD Reversals,

About this dataset

Context

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

Key observations

Largest age group (population): Male # 15-19 years (1,900) | Female # 15-19 years (2,220). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Holland population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Holland is shown in the following column.
• Population (Female): The female population in the Holland 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 Holland 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 Holland Population by Gender. You can refer the same here

Italians to America Passenger Data File A bulk dataset of the full passenger's manifest with information on all Italian passengers who arrived in the US between 1855-1900

Historical chart and dataset showing U.S. military size by year from 1985 to 2020.

Hourly Precipitation Data (HPD) is digital data set DSI-3240, archived at the National Climatic Data Center (NCDC). The primary source of data for this file is approximately 5,500 US National Weather Service (NWS), Federal Aviation Administration (FAA), and cooperative observer stations in the United States of America, Puerto Rico, the US Virgin Islands, and various Pacific Islands. The earliest data dates vary considerably by state and region: Maine, Pennsylvania, and Texas have data since 1900. The western Pacific region that includes Guam, American Samoa, Marshall Islands, Micronesia, and Palau have data since 1978. Other states and regions have earliest dates between those extremes. The latest data in all states and regions is from the present day. The major parameter in DSI-3240 is precipitation amounts, which are measurements of hourly or daily precipitation accumulation. Accumulation was for longer periods of time if for any reason the rain gauge was out of service or no observer was present. DSI 3240_01 contains data grouped by state; DSI 3240_02 contains data grouped by year.

About this dataset

Context

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

Key observations

The largest age group in Cayce, SC was for the group of age 20 to 24 years years with a population of 1,900 (13.85%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Cayce, SC was the 75 to 79 years years with a population of 233 (1.70%). 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 Cayce is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Cayce 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 Cayce Population by Age. You can refer the same here

About this dataset

Context

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

Key observations

The largest age group in Scarborough, Maine was for the group of age 50 to 54 years years with a population of 1,900 (8.35%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Scarborough, Maine was the 85 years and over years with a population of 584 (2.57%). 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 Scarborough town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Scarborough 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 Scarborough town Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Newton population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Newton. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,900 (60.30% of the total population). 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 cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Newton population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Newton is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Newton is shown in the following column.

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 Newton Population by Age. You can refer the same here