Abstract

The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

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Documentation

This dataset was created on 2020-01-10 22:52:11.461 by merging multiple datasets together. The source datasets for this version were:

IPUMS 1930 households: This dataset includes all households from the 1930 US census.

IPUMS 1930 persons: This dataset includes all individuals from the 1930 US census.

IPUMS 1930 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1930 datasets.

Section 2

Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier. In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

The historic US 1930 census data was collected in April 1930. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

Notes

• We provide IPUMS household and person data separately so that it is convenient to explore the descriptive statistics on each level. In order to obtain a full dataset, merge the household and person on the variables SERIAL and SERIALP. In order to create a longitudinal dataset, merge datasets on the variable HISTID.

• Households with more than 60 people in the original data were broken up for processing purposes. Every person in the large households are considered to be in their own household. The original large households can be identified using the variable SPLIT, reconstructed using the variable SPLITHID, and the original count is found in the variable SPLITNUM.

• Coded variables derived from string variables are still in progress. These variables include: occupation and industry.

• Missing observations have been allocated and some inconsistencies have been edited for the following variables: SPEAKENG, YRIMMIG, CITIZEN, AGEMARR, AGE, BPL, MBPL, FBPL, LIT, SCHOOL, OWNERSHP, FARM, EMPSTAT, OCC1950, IND1950, MTONGUE, MARST, RACE, SEX, RELATE, CLASSWKR. The flag variables indicating an allocated observation for the associated variables can be included in your extract by clicking the ‘Select data quality flags’ box on the extract summary page.

• Most inconsistent information was not edite

Global Genealogy Products And Services market size is expected to reach $7.94 billion by 2029 at 11.4%, segmented as by family records, birth records, marriage records, death records, census records, immigration and naturalization records

As per Cognitive Market Research's latest published report, the Global Genealogy Products and Services Market size will be USD 5,093.64 Million by 2028. Genealogy Products and Services Industry's Compound Annual Growth Rate will be 7.97% from 2023 to 2030.

The North America Genealogy Products and Services market size will be USD 2,008.93 Million by 2028.

Market Dynamics of Genealogy Products and Services

Key Drivers for Genealogy Products and Services

Growing Interest in Ancestry and Family History: Rising consumer interest in personal heritage, cultural origins, and ethnic backgrounds is driving the demand for genealogy kits, online family tree services, and archival data platforms.

Advancements in DNA Testing Technologies: The development of cost-effective and precise DNA testing technologies has transformed genealogy, facilitating easier access for consumers to genetic information that enhances traditional family research.

Increased Digitalization of Historical Records: Governments, religious institutions, and private companies are digitizing essential records (birth, marriage, death, census), broadening access for genealogists and boosting subscriptions to genealogy services.

Key Restraints for Genealogy Products and Services

Concerns Regarding Privacy and Data Security: The act of sharing genetic and personal information on the internet presents significant privacy challenges, which may deter potential users due to fears of misuse, data breaches, or insufficient control over their personal data.

Limited Access to Records in Specific Regions: The presence of historical conflicts, inadequate recordkeeping, and disjointed archives in certain nations complicates the process of tracing lineage, thereby diminishing the effectiveness and attractiveness of services on a global scale.

Costs Associated with Subscriptions and Testing: Despite a reduction in prices, the comprehensive DNA kits and premium family history subscriptions continue to pose a financial obstacle for numerous users, particularly in developing economies.

Key Trends for Genealogy Products and Services

Integration of Artificial Intelligence for Record Matching: Companies are leveraging AI and machine learning technologies to identify patterns, propose familial connections, and automatically construct family trees, thereby improving user experience and the precision of research.

Collaborations with Health and Wellness Providers: Genealogy services are progressively forming partnerships with health platforms, providing users with insights into genetic predispositions, nutrition based on ancestry, and wellness recommendations.

Mobile Applications and Research Tools for On-the-Go: There is an increasing trend towards mobile-optimized platforms, allowing users to investigate family trees, upload documents, and engage with relatives directly from their smartphones. Introduction of Genealogy Products and Services

Genealogy is study of family and their history, tracing lineages, obtaining information about family, ancestors and it comprises DNA testing cemetery records, family tree creation, newspapers, online records, blogs, links that provides access to database for obtaining information about family members.

There are various institutions, advanced applications that are mobile based used for finding information about ancestors. The market is growing rapidly with adoption of emerging technologies that boost its growth in the market.

There is increasing technological advancement in the genealogical studies and its benefits in effectively find out information about ancestors has gained popularity across globe that drives the growth of genealogy products and service market.

For instance, there are various technological incorporation and ensure cost effective research that helps in tracing lineages, information about ancestors. The major companies are adopting DNA testing services and they merged genealogical research with genetic testing that helps in obtaining information about families. They have database, online records that has detailed information about ancestors. They use modern applications such as Ancestry, electronic database, blogs, that provide accurate database and genetic representation of family tree used in genetic services.

There are various benefits such as genealogical data provides medical history of...

Abstract

This dataset includes all individuals from the 1860 US census.

Before Manuscript Submission

All manuscripts (and other items you'd like to publish) must be submitted to

phsdatacore@stanford.edu for approval prior to journal submission.

We will check your cell sizes and citations.

For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core

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 1860 census was 1 June 1860. The main goal of an early census like the 1860 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

Ireland Census contains records from Scalp, Peterswell, County Galway, Ireland by Class: RG14; Census of Ireland 1901/1911. The National Archives of Ireland. http://www.census.nationalarchives.ie/search/: accessed 31 May 2013; Ancestry.com. Web: Ireland, Census, 1911 [database on-line]. Provo, UT, USA: Ancestry.com Operations, Inc., 2013. - .

This Special Licence access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset of the censuses of Great Britain for the period 1851 to 1911. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.

The anonymised main I-CeM database that complements these names and addresses is available under SN 7481. It comprises the Censuses of Great Britain for the period 1851-1911; data are available for England and Wales for 1851-1861 and 1881-1911 (1871 is not currently available for England and Wales) and for Scotland for 1851-1901 (1911 is not currently available for Scotland). The database contains over 180 million individual census records and was digitised and harmonised from the original census enumeration books. It details characteristics for all individuals resident in Great Britain at each of the included Censuses. The original digital data has been coded and standardised; the I-CeM database has consistent geography over time and standardised coding schemes for many census variables.

This dataset of names and addresses for individual census records is organised per country (England and Wales; Scotland) and per census year. Within each data file each census record contains first and last name, street address and an individual identification code (RecID) that allows linking with the corresponding anonymised I-CeM record. The data cannot be used for true linking of individual census records across census years for commercial genealogy purposes nor for any other commercial purposes. The SL arrangements are required to ensure that commercial sensitivity is protected. For information on making an application, see the Access section.

The data were updated in February 2020, with some files redeposited with longer field length limits. Users should note that some name and address fields are truncated due to the limits set by the LDS project that transcribed the original data. No more than 10,000 records out of some 210 million across the study should be affected. Examples include:

• England and Wales:
  • 1851 - truncated at the 24th character (maximum I-CeM field length 95 characters)
  • 1881 - truncated at the 16th character (maximum I-CeM field length 50 characters).
• Scotland: for 1851‐71, truncations affect less than 0.01% of all addresses and for 1851 around 1% at most
  • 1851 - truncated at the 70th character
  • 1861 - truncated at the 76th character
  • 1871 - truncated at the 82th character
  • 1881 - truncated at the 50th character.

Further information about I-CeM can be found on the I-CeM Integrated Microdata Project and I-CeM Guide webpages.