The features in the order shown under “Feature name” are: GDP, inter-state distance based on lat-long coordinates, gender, ethnicity, quality of health care facility, number of homeless people, total infected and death, population density, airport passenger traffic, age group, days for infection and death to peak, number of people tested for COVID-19, days elapsed between first reported infection and the imposition of lockdown measures at a given state.

Our Point of Interest (POI) data supports various location intelligence projects and facilitates the development of precise mapping and navigation tools, location analysis, address validation, and much more. Gain access to highly accurate, clean, and globally scaled POI data featuring over 164 million verified locations across 220 countries. We have been providing this data to companies worldwide for 30 years.

• Develop mapping and navigation tools and software.
• Identify new areas and locations suitable for business development.
• Analyze the presence of competitors and nearby populations.
• Optimize routes to enhance delivery efficiency.
• Evaluate property values based on nearby infrastructure.
• Support disaster management by identifying high-risk areas.
• Promote your products and services using geotargeting strategies.

Our use cases demonstrate how our data has been beneficial and helped our customers in several key areas: 1. Gaining a Competitive Edge: Utilize point of interest (POI) data to analyze competitors, identify high-opportunity areas, and attract more customers. 2. Enhancing Customer Journeys: Leverage location intelligence to provide personalized, real-time recommendations that boost customer engagement. 3. Optimizing Store Expansion: Select the most profitable locations by analyzing foot traffic, demographics, and competitor insights. 4. Streamlining Deliveries: Improve fulfillment accuracy through address validation, reducing failed shipments and increasing customer satisfaction. 5. Driving Smarter Campaigns: Use geospatial insights to effectively target the right audiences, enhance outreach, and maximize campaign impact.

The Open Economics project provides open content, data and code related to Economics. This site itself provides interfaces to some (though not all) of the Open Economics datasets and models.

Current datasets (all available as csv):

• Bank of England Interest Rate
• CIA World Factbook Data (Various Years)
• Copyright Registrations in the United States 1790-2000
• Country and Regional Analyses (CRA) - UK Government Finances
• Daily Wages of Thatchers in the Middle Ages
• Distribution of Estimated Patent Values in Various European Countries
• Gold Prices 1950-2008 (Monthly)
• Government revenue (for 17 Countries in the period 1880-1913)
• Gross value added at basic prices: Output Index: CVM SA
• Hard Drive Capacities and Costs (1955-2000)
• Income Distribution in Hamburg for Occupied Persons in 1890
• Millenium Development Goals Dataset
• Monthly stock price, dividends, and earnings data and the consumer price index from January 1871
• Number of Published Articles in Economics (1970-2006)
• Patents Enrolled in England 1660-1799
• Penn World Table of PPP and National Income Accounts
• Population, Landscape and Climate Estimates
• Recorded Music Sales 1969-2004 Worldwide (in millions)
• UK Government Finances - Public Expenditure Statistical Analyses
• UK House Price Data
• UK Population Estimates 1520 to 1851
• UK Price Index 1850-2002 (Annual)
• US Population Estimates (mid year) 1790 to 2005
• US Wheat Production and Prices
• USA Employment status of the civilian noninstitutional population, 1940 to date
• W3Schools Browser Statistics (Monthly)
• Wheat, barley, oat, mutton and wool prices, and agricultural wages, 1500-1849 (10 year averages 1700-49 = 100)
• World Population Historical

We are in the process of merging this data catalog in CKAN (so each dataset will become a package on CKAN).

Openness

All Open Economics datasets are openly licensed though not always possible to gauge status of underlying data used. Individual datasets have more information about their license status.

Multiple linear regression table with R2, coefficient and p value for input features (population density, normalized busy airport, pre-infected count, pre-death count) and observed factors (post-infected count and post-death count).

The Harmonised Cognitive Assessment Protocol (HCAP) is part of the Healthy Cognitive Aging Project, a study examining how people's memory and thinking change as they get older. In England, HCAP is a sub-study of ELSA, the English Longitudinal Study of Ageing (ELSA), a longitudinal survey of ageing and quality of life among older people that explores the dynamic relationships between health and functioning, social networks and participation, and economic position as people plan for, move into and progress beyond retirement. (The main ELSA study is held under SN 5050.)

ELSA-HCAP1 took place in 2018 and interviewed ELSA core members aged 65 and over. It included a second, shorter interview with an informant, a family member or friend nominated by the ELSA core member to complete an interview on their behalf. ELSA-HCAP2 took place in 2023 and interviewed ELSA-HCAP1 sample members and additional ELSA core members aged 65 and over, and also included an informant interview.

The HCAP study originated with the Health and Retirement Study (HRS) in the United States, which is a sister study to ELSA, a longitudinal study of people aged 50 and over in the United States. Researchers on HRS developed the protocols for HCAP, in discussion with researchers from ELSA and other international studies, and fieldwork in the United States began while ELSA-HCAP in England was still in the planning stages.

The aim of ELSA-HCAP is to measure the prevalence of dementia and cognitive impairment among older people in the ELSA panel, in order to:

• Understand more about how widespread these conditions are in England and increase our understanding of dementia;
• Test how well the cognitive assessments used in this study can identify these conditions.
• Examine the 5-year change in cognitive function in the subset of respondents who take part across multiple waves of ELSA-HCAP.

HCAP scores developed by Alden Gross and colleagues - February 2024

For the third edition (February 2024), harmonised general and domain-specific cognitive scores were added from HCAP studies across six countries: China, England, India, Mexico, South Africa and the USA. The harmonised cognitive function scores have been developed by Alden Gross and colleagues. These scores empirically reflect comparable domains of cognitive function among older adults across the six countries, have high reliability and are useful for population-based research. The accompanying documentation includes a guidance file and the publication by Gross et al. (with supplement) that explains the scores and how they were derived. Each of the 1,273 participants in HCAP1 has a score on general cognitive function, executive function, language, orientation, and memory.

ELSA-HCAP2 and Family and Friends (Informant) data deposited - February 2025

For the fourth edition (February 2025), the ELSA-HCAP2 and Family and Friends (Informant) 2023 data and documentation were deposited. The ELSA-HCAP2 dataset contains 2,022 cases and the Family and Friends (Informant) dataset contains 1,807 cases. Data were collected between April to November 2023 for ELSA-HCAP2 and April to December 2023 for Family and Friends (Informants). ELSA-HCAP2 had an additional aim; to examine the 5-year change in cognitive function in the subset of respondents that took part in ELSA-HCAP1 in 2018. Users should note that the data submitted currently contains no survey weights, and the technical report is not yet available. Both elements will be added in due course.

United Kingdom UK:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data was reported at 96,300.763 Intl $ in 2022. This records an increase from the previous number of 93,528.178 Intl $ for 2021. United Kingdom UK:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data is updated yearly, averaging 87,416.845 Intl $ from Dec 1991 (Median) to 2022, with 32 observations. The data reached an all-time high of 96,300.763 Intl $ in 2022 and a record low of 65,259.281 Intl $ in 1991. United Kingdom UK:(GDP) Gross Domestic Productper Person Employed: 2017 PPP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Employment and Unemployment. GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 2017 constant international dollars using PPP rates. An international dollar has the same purchasing power over GDP that a U.S. dollar has in the United States.;World Bank, World Development Indicators database. Estimates are based on employment, population, GDP, and PPP data obtained from International Labour Organization, United Nations Population Division, Eurostat, OECD, and World Bank.;Weighted average;

Stata code for "Diabetes and all-cause mortality among middle-aged and older adults in China, England, Mexico, rural South Africa, and the United States: A population-based study of longitudinal aging cohorts"

Values of parameters.