Quality measures for annual data on size and growth within the UK non-financial business sectors, as measured by the Annual Business Survey.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

The Digital Economy Satellite Account measures the digital economy's contribution to U.S. GDP, improves measures of high-tech goods and services, and offers a more complete picture of international trade. Includes valuing digital-enabling infrastructure, e-commerce transactions, and digital media.

Bulgaria Google Search Trends: Economic Measures: Unemployment data was reported at 53.000 Score in 14 May 2025. This records a decrease from the previous number of 56.000 Score for 13 May 2025. Bulgaria Google Search Trends: Economic Measures: Unemployment data is updated daily, averaging 23.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 100.000 Score in 07 Mar 2025 and a record low of 0.000 Score in 02 May 2025. Bulgaria Google Search Trends: Economic Measures: Unemployment data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Bulgaria – Table BG.Google.GT: Google Search Trends: by Categories.

Russia Google Search Trends: Economic Measures: Mortgage Loan data was reported at 18.000 Score in 14 May 2025. This records a decrease from the previous number of 19.000 Score for 13 May 2025. Russia Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 14.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 77.000 Score in 15 Aug 2023 and a record low of 0.000 Score in 23 Mar 2023. Russia Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Russian Federation – Table RU.Google.GT: Google Search Trends: by Categories.

Japan Google Search Trends: Economic Measures: Mortgage Loan data was reported at 21.000 Score in 14 May 2025. This records a decrease from the previous number of 24.000 Score for 13 May 2025. Japan Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 24.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 91.000 Score in 19 Mar 2024 and a record low of 0.000 Score in 31 May 2023. Japan Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Japan – Table JP.Google.GT: Google Search Trends: by Categories.

Germany Google Search Trends: Economic Measures: Short-Time Working data was reported at 1.000 Score in 08 May 2025. This stayed constant from the previous number of 1.000 Score for 07 May 2025. Germany Google Search Trends: Economic Measures: Short-Time Working data is updated daily, averaging 1.000 Score from Dec 2021 (Median) to 08 May 2025, with 1255 observations. The data reached an all-time high of 47.000 Score in 01 Dec 2021 and a record low of 0.000 Score in 04 May 2025. Germany Google Search Trends: Economic Measures: Short-Time Working data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Germany – Table DE.Google.GT: Google Search Trends: by Categories.

Azerbaijan Google Search Trends: Economic Measures: Mortgage Loan data was reported at 3.000 Score in 14 May 2025. This stayed constant from the previous number of 3.000 Score for 13 May 2025. Azerbaijan Google Search Trends: Economic Measures: Mortgage Loan data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 59.000 Score in 19 Jan 2023 and a record low of 0.000 Score in 02 May 2025. Azerbaijan Google Search Trends: Economic Measures: Mortgage Loan data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Azerbaijan – Table AZ.Google.GT: Google Search Trends: by Categories.

Context

Additional data collated for Kiva loans & Poverty analysis

Content

There are various measures that can used to understand the economic welfare of countries/regions throughout the world - Such data is published & made available publicly by various organizations, such as The World Bank, United Nations Human Development Reports, Organisation for Economic Co-operation and Development (OECD), Oxford Poverty & Human Development Initiative, to name a few

Here we have collated the data from various sources to understand different factors & how these factors affects Kiva borrower situations, taking into consideration the latest available data (2016 in majority cases, & in case data for 2016 is not available in the particular dataset, have considered the data from the last year that is available)

Apart from understanding Kiva loans, this dataset can also be used for understanding the Poverty levels of various regions

Acknowledgements

https://data.worldbank.org/indicator http://hdr.undp.org/ Data Tables 1.1 – 7 as: Alkire, S. and Robles, G. (2017). “Multidimensional Poverty Index Summer 2017: Brief methodological note and results.” OPHI Methodological Note 44, University of Oxford.

Banner Photo by Olga DeLawrence on Unsplash

Inspiration

https://www.kiva.org/about/

This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

There are 20 columns and 343 rows spanning 1990-04 to 2022-10

The columns are:

1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

Annual data on quality measures for business turnover, approximate gross value added (aGVA), purchases and employment costs, from the Annual Business Survey.

In 2024, the U.S. GDP increased from the previous year to about 29.18 trillion U.S. dollars. Gross domestic product (GDP) refers to the market value of all goods and services produced within a country. In 2024, the United States has the largest economy in the world. What is GDP? Gross domestic product is one of the most important indicators used to analyze the health of an economy. GDP is defined by the BEA as the market value of goods and services produced by labor and property in the United States, regardless of nationality. It is the primary measure of U.S. production. The OECD defines GDP as an aggregate measure of production equal to the sum of the gross values added of all resident, institutional units engaged in production (plus any taxes, and minus any subsidies, on products not included in the value of their outputs). GDP and national debt Although the United States had the highest Gross Domestic Product (GDP) in the world in 2022, this does not tell us much about the quality of life in any given country. GDP per capita at purchasing power parity (PPP) is an economic measurement that is thought to be a better method for comparing living standards across countries because it accounts for domestic inflation and variations in the cost of living. While the United States might have the largest economy, the country that ranked highest in terms of GDP at PPP was Luxembourg, amounting to around 141,333 international dollars per capita. Singapore, Ireland, and Qatar also ranked highly on the GDP PPP list, and the United States ranked 9th in 2022.

This classification includes actions that can be taken to limit, reduce or control expenses.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

From 2020 through 2021, the Assessment Capacities Project (ACAPS) Government Measures dataset tracked government responses to the pandemic over time using information compiled by ACAPS analysts and volunteers from the University of Copenhagen and University of Lund. Information was obtained from public sources, including governments, media, United Nations agencies, and other organizations, and are denoted in the dataset.

Government measures were grouped into five categories:

• Social distancing
• Movement restrictions
• Public health measures
• Social and economic measures
• Lockdowns

An ancillary dataset produced by the ACAPS Secondary Impacts Analytical Framework tracked secondary impacts across a wide range of relevant themes, such as economy, health, migration, and education.

Quarterly levels for UK gross domestic product (GDP), in chained volume measures at market prices.

Laos Google Search Trends: Economic Measures: Bankruptcy data was reported at 3.000 Score in 30 Nov 2025. This records an increase from the previous number of 0.000 Score for 29 Nov 2025. Laos Google Search Trends: Economic Measures: Bankruptcy data is updated daily, averaging 0.000 Score from Dec 2021 (Median) to 30 Nov 2025, with 1461 observations. The data reached an all-time high of 54.000 Score in 07 Mar 2022 and a record low of 0.000 Score in 29 Nov 2025. Laos Google Search Trends: Economic Measures: Bankruptcy data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Laos – Table LA.Google.GT: Google Search Trends: by Categories.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.