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

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...

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.

The percentage of persons, out of the total number of persons living in an area, self-identifying their ethnicity as Hispanic or Latino. Hispanic origin can be viewed as the heritage, nationality group, lineage, or country of birth of the person or the person’s parents or ancestors before they arrived in the United States. People who identify their origin as Hispanic, Latino, or Spanish may be of any race. Source: U.S. Census Bureau, American Community SurveyYears Available: 2010, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2020, 2017-2021, 2018-2022, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

Abstract

This dataset is derived from GA TOPO 250K Series 3 features clipped to the BA_SYD and environs extent for the purpose of providing geographic context in BA_SYD report map images. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Selected features currently include:

Lakes

PlaceNames*

PopulatedPlaces

Railways

Roads

WatercourseLines

additional features may be included as required (relevant feature classes asterisked).

Currently the only addition has been to PlaceNames with the addition of Census Spring (see Lineage).

Purpose

providing geographic context in BA_SYD report map images.

Dataset History

A rectangular mask polygon feature was manually drawn around the BA_SYD (ie NSB+SSB) boundary extending approximately 100km beyond the BA_SYD extent. This mask is included in the dataset (SYD_clip).

Selected features from the national GEODATA TOPO 250K series 3 were overlaid with the mask and intersecting features extracted.

Extracted feature classes have the same names as the source features.

The additional feature of "Census Spring" was added to place names. It's approximate location was sourced from

Fig 4, p172 of the document :

Duralie Coal (2013) Duralie Coal Mine - Water Management Plan (Document No. WAMP-R02-D) Appendix 3 - Groundwater Management Plan . September 2013 Document No. GWMP-R02-C (00519574) . Fig4 pp13

http://www.gloucestercoal.com.au/documents/community_environment/duralie/Duralie_Coal_Mine_Water_Management_Plan.pdf

Dataset Citation

Bioregional Assessment Programme (2014) BA SYD selected GA TOPO 250K data plus added map features. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/ba5feac2-b35a-4611-82da-5b6213777069.

Dataset Ancestors

• Derived From GEODATA TOPO 250K Series 3

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset shows the Australian Bureau of Statistics (ABS) Mesh Blocks across Victoria, with the 2011 census population and housing counts attached as attributes. It was derived by the Bioregional Assessment Programme from the ABS Mesh Block Population Counts Aus 2011 dataset, and the ABS Boundaries 2011 dataset. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

Dataset History

The ABS 2011 Mesh Block Population Count spreadsheet (https://data.bioregionalassessments.gov.au/datastore/dataset/ee39fa76-db4e-412a-af0a-115d965b5813) was joined to the Victorian ABS Mesh Block boundaries (https://data.bioregionalassessments.gov.au/datastore/dataset/8b65c3a4-7010-4a79-8eaa-5621b750347f) using the unique MB_CODE11 field within ESRI ArcMap 10.2.

Two additional fields were added to show Mesh Block Area (km2) and Population Density (people/km2). These field values were calculated within ESRI ArcMap 10.2 using the Field Calculator tool.

Dataset Citation

Bioregional Assessment Programme (2014) Victorian ABS Mesh Block Population 2011. Bioregional Assessment Derived Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/b27fdf82-dd1e-4841-a228-21f671a95368.

Dataset Ancestors

• Derived From ABS Mesh Block Population Counts Aus 2011

• Derived From ABS Boundaries 2011

The percentage of persons, out of the total number of persons living in an area, self-identifying their ethnicity as Hispanic or Latino. Hispanic origin can be viewed as the heritage, nationality group, lineage, or country of birth of the person or the person’s parents or ancestors before they arrived in the United States. People who identify their origin as Hispanic, Latino, or Spanish may be of any race. Source: U.S. Census Bureau, American Community SurveyYears Available: 2010, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2020, 2017-2021, 2018-2022, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html