Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: A separate inhabited tenement, containing one or more families under one roof. Where several tenements are in one block, with walls either of brick or wood to divide them, having separate entrances, they are each to be numbered as separate houses; but where not so divided, they are to be numbered as one house. - Households: One person living separately in a house, or a part of a house, and providing for him or herself, or several persons living together in a house, or in part of a house, upon one common means of support, and separately from others in similar circumstances - Group quarters: Yes

Universe

All persons living in the United States including temporarily absent residents and sailors at sea, no matter how long they may have been absent, if they were believed to be still alive. "Indians not taxed", which refers to Native Americans living on reservations or under tribal rule. Native Americans who had renounced tribal rule and "exercise the rights of citizens" were to be enumerated.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Department of the Interior

SAMPLE SIZE (person records): 273596.

SAMPLE DESIGN: 1-in-100 national random sample of the free population. African-American slaves are not included in this dataset. Individual-level data on the 1860 slave population is available at the

Mode of data collection

Face-to-face [f2f]

Research instrument

The census operation involved six forms. Form 1 was used to enumerate free persons and collected information on individual characteristics. Form 2 was used to enumerate slaves. Other forms were used to record information about agriculture and industry.

Demographic, occupational, and economic information for over 21,000 rural households in the northern United States in 1860 are presented in this dataset. The data were obtained from the manuscript agricultural and population schedules of the 1860 United States Census and are provided for all households in a single township from each of 102 randomly-selected counties in sixteen northern states. Variables in the dataset include farm values, livestock, and crop production figures for the households which owned or operated farms (over half the households sampled), as well as value of real and personal estate, color, sex, age, literacy, school attendance, occupation, place of birth, and parents' nationality of all individuals residing in the sampled townships.

This data collection contains information about the population of each county, town, and city of the United States in 1850 and 1860. Specific variables include tabulations of white, black, and slave males and females, and aggregate population for each town. Foreign-born population, total population of each county, and centroid latitudes and longitudes of each county and state were also compiled. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR09424.v2. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

These data on 19th- and early 20th-century police department and arrest behavior were collected between 1975 and 1978 for a study of police and crime in the United States. Raw and aggregated time-series data are presented in Parts 1 and 3 on 23 American cities for most years during the period 1860-1920. The data were drawn from annual reports of police departments found in the Library of Congress or in newspapers and legislative reports located elsewhere. Variables in Part 1, for which the city is the unit of analysis, include arrests for drunkenness, conditional offenses and homicides, persons dismissed or held, police personnel, and population. Part 3 aggregates the data by year and reports some of these variables on a per capita basis, using a linear interpolation from the last decennial census to estimate population. Part 2 contains data for 267 United States cities for the period 1880-1890 and was generated from the 1880 federal census volume, REPORT ON THE DEFECTIVE, DEPENDENT, AND DELINQUENT CLASSES, published in 1888, and from the 1890 federal census volume, SOCIAL STATISTICS OF CITIES. Information includes police personnel and expenditures, arrests, persons held overnight, trains entering town, and population.

The dataset is a compilation of prices of public securities (equities and bonds) traded in nine United States securities markets and in London during the period between the United States Revolutionary and Civil Wars. The data were gathered by scanning early United States periodicals chronicling the period from 1786-1862. The data were concentrated on what were termed "runs" of securities quotations broken down by days, weeks, or months for each of the ten cities in the data set. Runs are series of bids and offer quotes for different securities and maturities. Within each part (market), the data were divided by issuer sectors or types. There may be some redundancy in the data, because when there was doubt about categorizing similar issues under a key code they were categorized under separate codes.

This data collection contains three files of county-level electoral returns for Ohio, Michigan, Nebraska, and New York in the period 1912, and 1920-1940. The data files were prepared for instructional use in the ICPSR Training Program and for graduate-level social science courses at the University of Michigan and other university campuses. They contain social, demographic, electoral, and economic data for various areas of the United States, usually for an extended period of time. Part 1, Ohio Referenda Counties as Units, and Part 2, Ohio Referenda as Units, consist of county-level returns for 42 referenda in the 1912 general election in Ohio. Data are provided for the names of counties, votes in the affirmative, total number of votes, and percentage of the "yes" votes for referenda on issues such as civil juries, capital punishment, governor's veto, workmen's compensation, 8-hour day, removal of elected officials, prison labor, women's suffrage, and taxes. The referenda included many questions considered important in the Progressive Movement. Part 3, Data Sets for Three States (Michigan, Nebraska, and New York), consists of electoral returns for the offices of president, governor, and United States representative, as well as ecological and population characteristics data in the period 1920-1940. Data are provided for the raw votes and percentage of the total votes received by the Democratic, Republican, Progressive, and other parties. Items also provide information on population characteristics, such as the total number of population, voting age population, urban population, and persons of other races, and school attendance and religion. Economic variables provide information on local government expenditures and revenues, agriculture and manufacturing, employment and unemployment, and the total number of banks and bank deposits.

This data collection is about the physical stature of prisoners in the US-American state Georgia, who were in arrest between 1770 and 1860. The provided information contain: age at imprisonment, height in feet and inches, federal state in which the juridical sentencing took place, occupation, place of birth, criminal offence, month and year of the start of detention, month and year of the end of detention, eventual pardons and their dates. Diese Datensammlung stellt die Körperstatur von Strafgefangenen des US-amerikanischen Staates Georgia dar, die sich zwischen 1770 und 1860 in Haft befanden. Die bereitgestellten Informationen umfassen: Alter bei Inhaftierung, Größenabmessungen in Fuß (feet) und Zoll (inches), Bundesstaat, in dem die Verurteilung erfolgte, Beruf, Geburtsort, Straftat, Monat und Jahr des Haftantritts, Monat und Jahr in dem die Strafe auslief, eventuelle Begnadigungen und deren Datum. Dara source: State archive of Georgia, central criminal records Datenquelle: Staatsarchiv Georgia, zentrales Sträflingsregister.

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

Diese Datensammlung stellt die Körperstatur von Strafgefangenen des US-amerikanischen Staates Georgia dar, die sich zwischen 1770 und 1860 in Haft befanden. Die bereitgestellten Informationen umfassen: Alter bei Inhaftierung, Größenabmessungen in Fuß (feet) und Zoll (inches), Bundesstaat, in dem die Verurteilung erfolgte, Beruf, Geburtsort, Straftat, Monat und Jahr des Haftantritts, Monat und Jahr in dem die Strafe auslief, eventuelle Begnadigungen und deren Datum. This data collection is about the physical stature of prisoners in the US-American state Georgia, who were in arrest between 1770 and 1860. The provided information contain: age at imprisonment, height in feet and inches, federal state in which the juridical sentencing took place, occupation, place of birth, criminal offence, month and year of the start of detention, month and year of the end of detention, eventual pardons and their dates. Datenquelle: Staatsarchiv Georgia, zentrales Sträflingsregister.

(Link to Metadata) This datalayer contains Vermont agricultural data describing changes in farming activity (1860-1997), by county, extracted from U.S. Census of Agriculture. Initial 1969-1992 data was originally collected by Rick Wackernagel, UVM Extension Service, Department of Community Development & Applied Economics (CDAE), then distributed by VCGI as the data product 'FARMDATA' in 1995. VCGI has since updated and added additional years and items to the dataset, and released it as the geospatial database FarmStats_CNTYFARM. Funding for much of this data was provided by the 'Datashare' agreement between VCGI and The USDA-Natural Resources Consevation Service. Many thanks to Ray Godfrey, USDA-NRCS, for helping to make this datalayer available to the public. One may download Excel spreadsheets or comma-delimited ASCII text files of this data from the VGIS indicators webpage - http://vcgi.vermont.gov/indicators/

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

About this dataset

Context

The dataset tabulates the Cross Plains 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 Cross Plains 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 Cross Plains was 1,860, a 1.31% increase year-by-year from 2021. Previously, in 2021, Cross Plains population was 1,836, an increase of 2.86% compared to a population of 1,785 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Cross Plains increased by 459. In this period, the peak population was 1,860 in the year 2022. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Cross Plains is shown in this column.
• Year on Year Change: This column displays the change in Cross Plains population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Cross Plains Population by Year. You can refer the same here

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Data for Figure 3.30 from Chapter 3 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure 3.30 shows observed and CMIP6 simulated AMOC mean state, variability and long-term trends.

How to cite this dataset

When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Eyring, V., N.P. Gillett, K.M. Achuta Rao, R. Barimalala, M. Barreiro Parrillo, N. Bellouin, C. Cassou, P.J. Durack, Y. Kosaka, S. McGregor, S. Min, O. Morgenstern, and Y. Sun, 2021: Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 423–552, doi:10.1017/9781009157896.005.

Figure subpanels

The figure has 6 subpanels with data provided for all panels in subdirectories named panel_a, panel_b, panel_c, panel_d, panel_e and panel_f.

List of data provided

This dataset contains:

• AMOC streamfunction profiles from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations
• AMOC mean maximum overturning depth from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations
• AMOC mean maximum overturning depth from RAPID observational dataset (2004-2018)
• AMOC mean maximum overturning streamfunction from CMIP5 (1860-2004) and CMIP6 (1860-2014) historical simulations
• AMOC mean maximum overturning streamfunction from RAPID observational dataset (2004-2018)
• AMOC 8-year trends from CMIP5 and CMIP6 simulations and RAPID observations (2004-2012)
• Interannual AMOC changes from CMIP5 and CMIP6 simulations and RAPID observations (2008-2010)
• Longterm AMOC trends (1850-2014) from CMIP6 simulations
• Longterm AMOC trends (1940-1985) from CMIP6 simulations
• Longterm AMOC trends (1985-2014) from CMIP6 simulations

Data provided in relation to figure

• panel_a/amoc_mean_state_boxes.csv has the data for the grey observations lines and blue and red boxes with whiskers
• panel_a/amoc_profiles_shadings.csv has data for the blue and red profile shadings.
• panel_a/amoc_profile_cmip5.csv has data for the blue profile
• panel_a/amoc_profile_cmip6.csv has data for the red profile
• panel_b/amoc_trends_2004_2012.csv has data for boxes and whiskers and outlier dots
• panel_b/amoc_trends_cmip5_cmip6_additional_outliers.csv has data for additional outlier dots for CMIP5 and CMIP6
• panel_c/interannual_variability_AMOC.csv has data for boxes and whiskers and outlier dots
• panel_c/interannual_variability_AMOC_cmip5_cmip6_additional_outliers.csv has data for additional outlier dots for CMIP5 and CMIP6
• panel_d/amoc_longtern_trend_1850_2014.csv has data for grey, green, blue and orange boxes and whiskers
• panel_e/amoc_longtern_trend_1940_1985.csv has data for grey, green, blue and orange boxes and whiskers
• panel_f/amoc_longtern_trend_1985_2014.csv has data for grey, green, blue and orange boxes and whiskers

CMIP6 is the sixth phase of the Coupled Model Intercomparison Project.

AMOC is the Atlantic Meridional Overturning Circulation.

Sources of additional information

The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the report component containing the figure (Chapter 3) - Link to the Supplementary Material for Chapter 3, which contains details on the input data used in Table 3.SM.1 - Link to the code for the figure, archived on Zenodo - Link to the figure on the IPCC AR6 website

Abstract (en): This data collection constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project collects military, medical, and socioeconomic data on a sample of white males mustered into the Union Army during the Civil War. The surgeons' certificates contain information from examining physicians to determine eligibility for pension benefits. Also included are questions regarding the age, occupation, residence, and military experience of the veterans. These data can be linked to AGING OF VETERANS OF THE UNION ARMY: MILITARY, PENSION, AND MEDICAL RECORDS, 1820-1940 (ICPSR 6837) and AGING OF VETERANS OF THE UNION ARMY: UNITED STATES FEDERAL CENSUS RECORDS, 1850, 1860, 1900, 1910 (ICPSR 6836) using the variable "recidnum." This version of the Surgeons' Certificates differs from the previous version, AGING OF VETERANS OF THE UNION ARMY: SURGEONS' CERTIFICATES, 1860-1940 (ICPSR 2877), in that the data contain standard codes for medical variables and that 5,346 new observations have been added from Ohio veterans. This collection studies the health conditions and disabilities of Union Army veterans, identifying relationships between biomedical and socioeconomic conditions. Also examined is the impact of age at onset of disabilities, comorbidities, and rates of deterioration on waiting time to death. These data also look at the connection between the burden of diseases and the cause of death among Union Army veterans compared to that of persons dying toward the end of the twentieth century. The investigators seek to determine how the age-specific curve of chronic disease burdens after age 50 has changed over time. Union Army recruits in white volunteer infantry regiments. Commissioned officers, Black recruits, and other branches of the military were excluded from the universe. A one-stage cluster sample of Union Army companies was randomly selected from the "Regimental Books" housed at the National Archives in Washington, DC. 2006-01-18 File DOC3417.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-01-18 File CB3417.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health (NIH-PO1-AG10120). National Science Foundation (NSF-SBR-9114981). (1) This collection contains 87,233 cases that are split into five files containing all the cases per group of variables. (2) Files can be merged by using the variables "recidnum" and "examnum." Users should refer to the Supplemental Documentation for information on merging these files.(3) The codebook and supplemental documentation are provided as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

Literacy Attainment Data and Discourse is an ESRC Fellowship which will collect literacy attainment data from three contrasting historical periods and explore variations in their contemporary analysis. The three time-periods reflect different points in the emergence of the education system and its organisation: in the 1860-90s when attainment data were collected to facilitate state funding for elementary education; in the 1950s, when the 11-plus exam data were used to ensure transition into 'appropriate' forms of secondary schooling. And PISA data, analysed by the OECD, to help drive school system reform. To understand these data in context further documentary evidence will be sought on how and why the data have arisen in this form; the underlying hypotheses which shape their structure and analysis; and the broader policy debates in which the data are situated and to which their statistical analysis contributes.This historical and comparative analysis will be used to throw light on contemporary issues in literacy policy, with particular reference to gender and literacy attainment.These three datasets will also be used to explore the ebb and flux of different explanatory theories and predictions which underpin quantitative model building and help shape both data use and design. Quantitative data: retrieving and cleaning literacy attainment data from the Annual Report of the Committee of Council on Education for the years 1864, 66, 68, 70, and 72. These were entered into and analysed through SPSS. The observation units are the religious bodies in receipt of government funding, and the aggregate figures given in the annual report for the numbers of pupils entered and passing six standards of exams in Reading, Writing and Arithmetic. Qualitative: An archive of 19th century source materials documenting the growth of the elementary education system in the first half of the 19th century, with particular emphasis on policy; school organisation and the literacy curriculum. This data is deposited as a reference list with URLs linking to the GoogleBooks website and the actual texts