The United States led the ranking of the countries with the highest military spending in 2023, with 916 billion U.S. dollars dedicated to the military. That constituted over 40 percent of the total military spending worldwide that year, which amounted to 2.4 trillion U.S. dollars. This amounted to 3.5 percent of the U.S. gross domestic product (GDP), placing the U.S. lower in the ranking of military expenditure as a percentage of GDP than for instance Saudi Arabia, Israel, Algeria, and Russia. China was the second largest military spender with an estimated 296 billion U.S. dollars spent, with Russia following in third. Defense budgetAccording to the U.S. Congressional Budget Office, the outlays for defense will rise to 1.1 trillion U.S. dollars by 2033. The largest parts of the budget are dedicated to the Departments of the Navy and the Air Force. The budget for the U.S. Air Force for 2024 was nearly 260 billion U.S. dollars.Global military spendingThe value of military spending globally has grown steadily in the past years and reached 2.44 trillion U.S. dollars in 2023. Reasons for this are the outbreak of the Russia-Ukraine war in 2022, the war in Gaza, as well as increasing tensions in the South China Sea. North America is by far the leading region worldwide in terms of expenditure on the military.

This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Real-time payments, or RTP, were commonly used in Asia-Pacific in 2023, with transactions in India being almost ** times higher as in China. RTP is important in India due to its implementation in the country's Unified Payments Interface or UPI. An expanded ranking on the number of instant payments per country places India at the top with a figure that was higher than 43 other countries combined. India is expected to keep this position by 2028, although its predicted CAGR will be lower than Brazil, the United States, and Indonesia. UPI (India) and Pix (Brazil) are the two main systems Real-time payments generally have two main characteristics that make them appealing: One, as the name suggests, payments can be initiated and settled almost immediately, allowing consumers, businesses, bank to send and receive money across the world within minutes. Two, these schemes are not bound to the opening times of a bank, and are available "24/7" and 365 days in the year. These traits matter especially to countries with a complex payment market that need to be digitalized — such as in India with its UPI system, but also in Brazil (PIX). UPI in India and Pix in Brazil together reached nearly *** billion transactions in 2022. A2A payments: An enabler of real-time payment technology UPI and Pix are both also examples of applications that allow for A2A payments. A2A or account-to-account payments refers to direct payments from one party to the other without the need for an intermediary. Such intermediaries are card rails from the likes of Visa and Mastercard, which are essentially bypassed in A2A. These typically domestically developed payment options come from banks. A2A apps were more common in Latin America than in other parts of the world in late 2022. It should be noted that sources sometimes interpret A2A in different ways, as bank transfers (push requests) and direct debit (pull requests) can technically be a part of A2A as well.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The average for 2022 based on 145 countries was 1.98 percent. The highest value was in Ukraine: 33.55 percent and the lowest value was in Haiti: 0.07 percent. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for INTEREST RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Abstract

The Future of African Remittances (FAR) team conducted research on remittance flows to measure and understand the remittance process in sub-Saharan Africa. This ambitious and important research is initially focused on three countries in East Africa - Ethiopia, Kenya and Uganda.

In order to glean insights into the remittance process in the three designated countries, the World Bank designed a two-phase survey process. Phase 1 involved conducting a national survey in each of the three countries. The purpose of the first phase of research was to collect a large representative sample of the adult population in each country. The national surveys provide important baseline data about international remittance flows including: an estimate of the percent of the total adult population that regularly receives remittances, the average amount of each remittance received, most common methods of receipt and top sending countries. Additionally, through the analysis of the national survey results, World Bank was able to identify areas of each country that have high concentrations of international remittance recipients. This important piece of information guided Phase 2 of the research - surveys of remittance receivers in each country. Whereas the national surveys aimed to collect general data about the remittance process, the surveys of remittance recipients allowed for the collection of more detailed data about the remittance process itself, how remittances are used, the relationship between sender and receiver, and interest in various financial products.

The results of this research will not only provide estimates of total annual amounts of remittances for each country, but also will tell us the percentage of the population in each country that is involved in the international remittance process. Furthermore, it will offer insights as to the degree to which Ethiopians, Kenyans and Ugandans depend on international remittances and how the money is used, saved and/or invested. Results will also measure interest in financial products that, if utilized, can significantly impact the financial well-being of the population and the overall economic stability of each country.

Geographic coverage

National Coverage

Analysis unit

Households Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

General:

The total samples were compiled utilizing multi-stage stratified random sampling through respondent selection. Multi-stage random sampling ensured that a random sample of adults was collected in each country. First, after stratifying the population of each country by region and population density, sampling points (SPs) were determined. SPs were then randomly selected within each stratum. At each SP, respondents were randomly selected to participate in the survey.

Phase 1:

The first phase consisted of national surveys of the adult population of each country. The three survey samples were designed to be representative of the adult populations of these three countries. World Bank coordinated and oversaw all aspects of the sampling and interviewing process. A team of local field experts was hired in each country to conduct the actual interviews. All interviewers were professionally trained and supervised by research personnel. In this phase of the research, a total of 2022 Kenyan adults were interviewed.

Phase 2:

Once the national surveys were completed, the results were analyzed to determine the areas of concentration of the remittance recipient population, after which the second phase of the project was conducted. This phase of the project included a targeted survey of the remittance recipient population of each of the three East African countries. Sampling Points were established based on the analysis of the national survey data and the identification of areas within each country that showed the highest concentrations of remittances received from relatives abroad in proportion to the sample size of all areas surveyed. Once again, local field experts were hired in each country to conduct the interviews, training and supervision of field operations. Languages of interviews were the same as those employed in Phase 1 and, again, all interviews were conducted in person using the PAPI method. A total of 400 interviews with regular international remittance recipients were completed in each country during August and September of 2010. The margin of error for all three surveys is approximately ±5 percentage points and the 95 percent level of confidence.

Detail:

The total sample was compiled utilizing multi-stage stratified random sampling through respondent selection. This sampling method enabled B&A to ensure that a representative random sample of Kenyan adults was collected. There are three stages to this type of sampling methodology. First, after stratifying the Kenyan population by region and population density, sampling points (SPs) were determined. SPs were then randomly selected within each stratum. In the second stage, using the random route method, dwellings were selected within each SP. The random route method involves selecting an address in each SP at random as a starting point. Each interviewer was given instructions to identify additional dwellings by taking alternate left and right turns and stopping at every Nth dwelling. The third and final stage involved selecting actual participants - for each selected dwelling, individual respondents were chosen using a Kish grid. In a Kish grid, prior to beginning the interview, the interviewer first asks for the ages and genders of every household member (only persons aged 18 or older were eligible for selection). The individual to be interviewed was then chosen based on a random number in the grid.

Once the national survey was completed, B&A analyzed the results to determine the areas of concentration of the remittance recipient population, after which the second phase of the project was conducted. This phase included a targeted survey of the remittance recipient population in Kenya. Sampling Points were established based on B&A's analysis of the national survey data and the identification of areas of the country that showed concentrations of international remittance receivers in proportion to the sample size of all areas surveyed. Once again, local field experts were hired to conduct the interviews and B&A conducted all training and supervision of field operations. Interviews were conducted in English or Swahili depending on respondent preference and all interviews were conducted in person using the PAPI method. A total of 401 interviews with regular international remittance recipients were conducted in Kenya during August and September of 2010. The margin of error for the surveys is approximately ±5 percentage points and the 95 percent level of confidence.

Mode of data collection

Face-to-face [f2f]

Research instrument

Phase 1:

This survey consisted of 12 questions that were aimed at helping to identify some of the basic characteristics of the remittance recipient population in each country. Some of the variables included in this survey were - location, age, gender, amount of money received, method of receipt, origin of remittance, etc.

Phase 2:

The survey instrument for Phase 2 consisted of approximately 35 questions and included a number of variables aimed at obtaining greater detail about the remittance receiving process including costs, amounts received, information about the sender and the relationship between sender and receiver. Additionally, the survey measured interest in various financial products.

Response rate

Every effort was made to achieve the maximum possible coverage, taking cost, timing and other factors into account. A coverage rate of 85% was achieved in the national survey and the 15% of the country that was not covered consisted of areas that were either very remote (and difficult to travel to) or that had extremely small populations.

Sampling error estimates

The margin of error is approximately ±5 percentage points and the 95 percent level of confidence.

This dataset provides values for GDP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Money Creek Township, Minnesota, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 36,115, while the mean income for the highest quintile (20% of households with the highest income) is 178,199. This indicates that the top earners earn 5 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 215,356, which is 120.85% higher compared to the highest quintile, and 596.31% higher compared to the lowest quintile.

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:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 Money Creek township median household income. You can refer the same here

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China's total Exports in 2024 were valued at US$3.58 Trillion, according to the United Nations COMTRADE database on international trade. China's main export partners were: the United States, Hong Kong and Vietnam. The top three export commodities were: Electrical, electronic equipment; Machinery, nuclear reactors, boilers and Vehicles other than railway, tramway. Total Imports were valued at US$2.59 Trillion. In 2024, China had a trade surplus of US$991.41 Billion.

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At the end of 2023, Zimbabwe had the highest inflation rate in the world, at 667.36 percent change compared to the previous year. Inflation in industrialized and in emerging countries Higher inflation rates are more present in less developed economies, as they often lack a sufficient central banking system, which in turn results in the manipulation of currency to achieve short term economic goals. Thus, interest rates increase while the general economic situation remains constant. In more developed economies and in the prime emerging markets, the inflation rate does not fluctuate as sporadically. Additionally, the majority of countries that maintained the lowest inflation rate compared to previous years are primarily oil producers or small island independent states. These countries experienced deflation, which occurs when the inflation rate falls below zero; this may happen for a variety of factors, such as a shift in supply or demand of goods and services, or an outflow of capital.

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Graph and download economic data for Share of Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01134) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

In 2023, Switzerland led the ranking of countries with the highest average wealth per adult, with approximately ******* U.S. dollars per person. Luxembourg was ranked second with an average wealth of around ******* U.S. dollars per adult, followed by Hong Kong SAR. However, the figures do not show the actual distribution of wealth. The Gini index shows wealth disparities in countries worldwide. Does wealth guarantee a longer life? As the old adage goes, “money can’t buy you happiness”, yet wealth and income are continuously correlated to the quality of life of individuals in different countries around the world. While greater levels of wealth may not guarantee a higher quality of life, it certainly increases an individual’s chances of having a longer one. Although they do not show the whole picture, life expectancy at birth is higher in the wealthier world regions. Does money bring happiness? A number of the world’s happiest nations also feature in the list of those countries for which average income was highest. Finland, however, which was the happiest country worldwide in 2022, is missing from the list of the top twenty countries with the highest wealth per adult. As such, the explanation for this may be the fact that the larger proportion of the population has access to a high income relative to global levels. Measures of quality of life Criticism of the use of income or wealth as a proxy for quality of life led to the creation of the United Nations’ Human Development Index. Although income is included within the index, it also has other factors taken into account, such as health and education. As such, the countries with the highest human development index can be correlated to those with the highest income levels. That said, none of the above measures seek to assess the physical and mental environmental impact of a high quality of life sourced through high incomes. The happy planet index demonstrates that the inclusion of experienced well-being and ecological footprint in place of income and other proxies for quality of life results in many of the world’s materially poorer nations being included in the happiest.

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