Business Failures by Industry in the United States, 1895 to 1940: A Statistical History (ICPSR 34016)
Center for Research on Social Reality [Spain] Survey, July 1991: Economic Attitudes and Behavior (ICPSR 9896)
Channels of Interstate Risk Sharing, United States, 1963-2000 (ICPSR 25541)
This study developed a framework for quantifying the amount of risk sharing among states in the United States, and constructed data that allowed researchers to decompose the cross-sectional variance in gross state product into levels of smoothing capital markets, federal government, and credit market smoothing.
The collection contains 67 Excel data files, that were grouped into 17 datasets based on the organizational ordering schematic provided by the principal investigator, including:
- Dataset 1 - State Personal Income: n=1,938, 51 variables
- Dataset 2 - Federal Taxes and Contributions: n=17,948, 424 variables
- Dataset 3 - State Population: n=1,887, 51 variables
- Dataset 4 - State and Local Personal Taxes: n=11,526, 306 variables
- Dataset 5 - Interests on State and Local Funds: n=7,609, 205 variables
- Dataset 6 - Transfers: n=5,814, 153 variables
- Dataset 7 - Non Federal State Income: n=1,887, 51 variables
- Dataset 8 - Federal Grants: n=1,938, 51 variables
- Dataset 9 - Federal Transfers to Individuals: n=27,415, 766 variables
- Dataset 10 - Federal Personal Taxes: n=1,938, 51 variables
- Dataset 11 - State Government Expenditure: n=1,887, 51 variables
- Dataset 12 - Disposable State Income: n=1,836, 51 variables
- Dataset 13 - State Consumption: n=5,508, 153 variables
- Dataset 14 - State and Local Transfers: n=1,836, 51 variables
- Dataset 15 - Gross State Product: n=1,910, 52 variables
- Dataset 16 - Retail Sales: n=3,774, 102 variables
- Dataset 17 - Personal Consumption Expenditures: n=38, 2 variables
How Costly Is Sustained Low Inflation for the U.S. Economy? (ICPSR 1302)
The Welfare Impact Of Collusion Under Various Industry Characteristics: A Panel Examination Of Efficient Cartel Theory (ICPSR 34351)
World Cities Culture Report, 2022 (ICPSR 39411)
The World Cities Culture Forum, established in 2012, is a leading global network of civic leaders from over 40 creative cities across six continents, representing a combined population of over 245 million. The forum fosters collaborations to place culture at the core of urban development, addressing 21st-century challenges such as climate change, affordable workspaces, cultural tourism, and diversity in public spaces. Through its Global Summit, partnerships, and programs like the Leadership Exchange Programme and Digital Dialogue Masterclasses, the forum promotes cultural integration in city planning. The World Cities Culture Report 2022 provides comprehensive open-source data on culture, including over 60 datasets from 40 cities.
- Contextual Data: Includes demographics such as characteristics of the overall and working-age populations (including percent who were foreign born) and of the geographical area, such as the percentage of national population living in the city and the percentage of the area devoted to parks and other public green spaces.
- Cultural Infrastructure: Provides counts (and rates) of various facilities and venues, including art galleries, artists' studios, rehearsal spaces, bars, bookshops, cinemas, community centers, concert halls, museums, nightclubs, libraries, video game arcades, and theatres.
- Participation and Tourism: Focuses on cultural participation metrics, such as cinema and theatre admissions, festival attendance, museum visits, average daily attendance at the top five art exhibits, and international tourist numbers.
- Creative Economy: Encompasses data on book publishing, creative industries employment, film festivals, restaurant ratings, and performances.
- Education: Includes statistics on public library book loans, higher education levels, international student enrollment, and specialist institutes in art and design education.
The source for each number is identified within the dataset. Data users can freely download selected datasets as .csv files.