The data sets in this repository allow users to link people among the U.S. decennial censuses, using the "histid" identifier. The census data sets users will need are indexed by Ancestry.com and are hosted by IPUMS at https://usa.ipums.org/usa-action/samples. Users will need to download the full-count census for each year and be sure to select the "histid" variable that is available under the Person/Historical Technical drop-down menu.As of 7/12/21, links are available between the 1900-1910, 1910-1920, and 1900-1920 censuses.A detailed account of how these links are created and a description of the data and its characteristics are available in the following article:Price, J., Buckles, K., Van Leeuwen, J., & Riley, I. (2021). Combining family history and machine learning to link historical records: The Census Tree data set. Explorations in Economic History, 80, 101391.https://www.sciencedirect.com/science/article/pii/S0014498321000024

This data collection represents a sample of the records contained in the Census Bureau's 1-in-100 county group sample 5-percent files for Standard Metropolitan Statistical Areas (SMSAs). Family information is provided in this file, including family relationships, size of family, family unit membership and group quarters status, Spanish descent, citizenship, immigration history, marital history, disability that affected work, and state of residence five years ago. Information is also provided on the housing unit, such as occupancy and vacancy status of house, number of rooms, tenure, value of property, commercial use, year structure was built, location of structure, rent, and availability of telephone, complete kitchen facilities, hot and cold water, bathtub or shower, flush toilet, plumbing facilities, basement, clothes washing machine, dishwasher, and television set. Other demographic variables provide information on age, sex, race, ethnicity, place of birth, marital status, education, occupation, income, and ratio of family income to poverty cutoff level.

1870 United States Federal Census contains records from Lyndon, Aroostook, Maine, USA by Year: 1870; Census Place: Lyndon, Aroostook, Maine; Roll: M593_538; Page: 236A; Family History Library Film: 552037 - .

The average American family in 2023 consisted of 3.15 persons. Families in the United States According to the U.S. Census Bureau, a family is a group of two people or more (one of whom is the householder) related by birth, marriage, or adoption and residing together; all such people (including related subfamily members) are considered as members of one family. As of 2023, the U.S. Census Bureau counted about 84.33 million families in the United States. The average family consisted of 3.15 persons in 2021, down from 3.7 in the 1960s. This is reflected in the decrease of children in family households overall. In 1970, about 56 percent of all family households had children under the age of 18 living in the household. This percentage declined to about 40 percent in 2020. The average size of a family household varies greatly from state to state. The largest average families can be found in Utah, California, and Hawaii, while the smallest families can be found in Wisconsin, Vermont and Maine.

Context. This historical dataset stems from the project of automatic extraction of 72 census records of Lausanne, Switzerland. The complete dataset covers a century of historical demography in Lausanne (1805-1898), which corresponds to 18,831 pages, and nearly 6 million cells.

Content. The data published in this repository correspond to a first release, i.e. a diachronic slice of one register every 8 to 9 years. Unfortunately, the remaining data are currently under embargo. Their publication will take place as soon as possible, and at the latest by the end of 2023. In the meantime, the data presented here correspond to a large subset of 2,844 pages, which already allows to investigate most research hypotheses.

Description. The population censuses, digitized by the Archives of the city of Lausanne, continuously cover the evolution of the population in Lausanne throughout the 19th century, starting in 1805, with only one long interruption from 1814 to 1831. Highly detailed, they are an invaluable source for studying migration, economic and social history, and traces of cultural exchanges not only with Bern, but also with France and Italy. Indeed, the system of tracing family origin, specific to Switzerland, allows to follow the migratory movements of families long before the censuses appeared. The bourgeoisie is also an essential economic tracer. In addition, censuses extensively describe the organization of the social fabric into family nuclei, around which gravitate various boarders, workers, servants or apprentices, often living in the same apartment with the family.

Production. The structure and richness of censuses have also provided an opportunity to develop automatic methods for processing structured documents. The processing of censuses includes several steps, from the identification of text segments to the restructuring of information as digital tabular data, through Handwritten Text Recognition and the automatic segmentation of the structure using neural networks. Please note that the detailed extraction methodology, as well as the complete evaluation of performance and reliability is published in:

Petitpierre R., Rappo L., Kramer M. (2023). An end-to-end pipeline for historical censuses processing. International Journal on Document Analysis and Recognition (IJDAR). doi: 10.1007/s10032-023-00428-9

Data structure. The data are structured in rows and columns, with each row corresponding to a household. Multiple entries in the same column for a single household are separated by vertical bars ⟨|⟩. The center point ⟨·⟩ indicates an empty entry. For some columns (e.g., street name, house number, owner name), an empty entry indicates that the last non-empty value should be carried over. The page number is in the last column.

Liability. The data presented here are not curated nor verified. They are the raw results of the extraction, the reliability of which was thoroughly assessed in the above-mentioned publication. We insist on the fact that for any reuse of this data for research purposes, the implementation of an appropriate methodology is necessary. This may typically include string distance heuristics, or statistical methodologies to deal with noise and uncertainty.

1860 United States Federal Census contains records from Philadelphia, Pennsylvania, USA by Year: 1860; Census Place: Philadelphia Ward 16 East Division, Philadelphia, Pennsylvania; Roll: M653_1166; Page: 77; Family History Library Film: 805166 - .

1840 United States Federal Census contains records from Philadelphia, Pennsylvania, USA by Year: 1840; Census Place: Philadelphia Cedar Ward, Philadelphia, Pennsylvania; Roll: 484; Page: 207; Family History Library Film: 0020554 - .

This computerised transcription of the census enumerators' books for the 1881 Census for England, Scotland and Wales, the Channel Islands and the Isle of Man is a by-product of a project to create a microfiche index of the population of Great Britain for genealogists. Covering the entire enumerated population of England, Scotland and Wales, the Channel Islands and the Isle of Man in 1881, it is the largest collection of historical source material to be made available in computerised form. The data consists of the name, address, relationship to the head of household, marital status, age, occupation and birthplace of some 26 million individuals, together with information about disabilities.
In 1999 the Genealogical Society of Utah published a version of this computerised transcription as a CD-ROM product suitable for genealogical research (Genealogical Society of Utah (1999) 1881 British census and national index. [25 CDs]. Salt Lake City, Utah: GSU). This study is an enriched version of these data. The sample is a 5 per cent random sample of the parishes of Great Britain. The sample was chosen in the simplest manner possible. A list of all the parishes in England, Wales, Scotland and the Islands in the British Seas was created; using a random number generator in Microsoft Excel, a random number between zero and one was allocated to each parish. All those less than or equal to 0.05 were selected for the sample. The records relating to the individuals in each of these parishes were then extracted from the data and combined in a database.

Tables B1 and B3 in Appendix B of the documentation list the 716 parishes in the sample.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Green Tree, PA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Green Tree did not include 6, or 7-person households. Across the different household sizes in Green Tree the mean income is $106,883, and the standard deviation is $41,801. The coefficient of variation (CV) is 39.11%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $36,157. It then further increased to $121,677 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/green-tree-pa-median-household-income-by-household-size.jpeg" alt="Green Tree, PA median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Green Tree median household income. You can refer the same here

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Green Tree, PA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Green Tree, PA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Green Tree households based on income levels.

Key observations

• For Family Households: In Green Tree, the majority of family households, representing 17.54%, earn $100,000 to $124,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $200,000 or more, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Green Tree, the majority of non-family households, accounting for 18.21%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $200,000 or more, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Green Tree, PA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Green Tree, PA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Green Tree, PA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Green Tree, PA

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 Green Tree median household income. You can refer the same here

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...

The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

Familial structure in the United States

If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

Adoptions in the U.S.

Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Green Tree, PA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Green Tree, PA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Green Tree households based on income levels.

Key observations

• For Family Households: In Green Tree, the majority of family households, representing 17.61%, earn $150,000 to $199,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $15,000 to $19,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Green Tree, the majority of non-family households, accounting for 13.61%, have income Less than $10,000, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $15,000 to $19,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Green Tree, PA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Green Tree, PA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Green Tree, PA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Green Tree, PA

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 Green Tree median household income. You can refer the same here

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Marked Tree, AR, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Marked Tree, AR reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Marked Tree households based on income levels.

Key observations

• For Family Households: In Marked Tree, the majority of family households, representing 22.07%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $100,000 to $124,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Marked Tree, the majority of non-family households, accounting for 24.48%, have income $10,000 to $14,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $100,000 to $124,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Marked Tree, AR (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Marked Tree, AR
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Marked Tree, AR
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Marked Tree, AR

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 Marked Tree median household income. You can refer the same here

Graph and download economic data for Median Family Income in the United States (MEFAINUSA646N) from 1953 to 2023 about family, median, income, and USA.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Lone Tree, CO, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Lone Tree, CO reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Lone Tree households based on income levels.

Key observations

• For Family Households: In Lone Tree, the majority of family households, representing 41.95%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.17%, have incomes falling $30,000 to $34,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Lone Tree, the majority of non-family households, accounting for 14.97%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $30,000 to $34,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Lone Tree, CO (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Lone Tree, CO
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Lone Tree, CO
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Lone Tree, CO

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 Lone Tree median household income. You can refer the same here

Housing Starts Multi Family in the United States decreased to 316 Thousand units in May from 454 Thousand units in April of 2025. This dataset includes a chart with historical data for the United States Housing Starts Multi Family.

Graph and download economic data for New One Family Houses Sold: United States (HSN1F) from Jan 1963 to May 2025 about 1-unit structures, headline figure, family, new, sales, housing, and USA.

The Census@Leicester datasets include socio-demographic data from the 2001, 2011, and 2021 Leicester censuses to enable the exploration of recent historical trends. It also includes data from the 2021 census for both Nottingham and Coventry to enable comparisons with other cities.

This online resource that can be used for teaching and research purposes by staff and students and to create a legacy for the Census@Leicester Project.

This dataset consists of data collected during the October 2021 census. A few trees were also measured in January 2022 as they could not be accessed in 2021. The data collection includes treeID, position, DBH_cm (girth in cm), observations, POM_cm (Point of measurement) status, census, date, family, genus and species. Botanical identification was done by Julien Engel (IRD). Trees were positioned using TLS scan by Olivier Martin. This tree census was funded by CNES (France).