In 2023, about 26.9 percent of Asian private households in the U.S. had an annual income of 200,000 U.S. dollars and more. Comparatively, around 13.9 percent of Black households had an annual income under 15,000 U.S. dollars.

A breakdown of annual household incomes in Japan showed that around ***** percent of households earned less than *** million Japanese yen per year as of 2024. That year, the average annual household income of Japanese households was approximately *** million yen compared to a median household income of *** million yen.

The poorest five percent of the population in Brazil received a monthly income of merely *** reals in 2024, with their jobs as their only source of income. By contrast, the average income of workers who fall within the 40 percent to 50 percent percentile, and from 50 percent to 60 percent are **** and **** Brazilian reals, respectively.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

In Mexico, as of 2022, the bottom 50 percent, which represents the population whose income lied below the median, earned on average 2,076 euros at purchasing power parity (PPP) before income taxes. Meanwhile, the top ten percent had an average earning of 111,484 euros, 53 times over than the average earning of the bottom half. Further, the bottom 50 percent accounted for -0.3 percent of the overall national wealth in Mexico, that is, they have on average more debts than assets.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

The average pre-tax income of the top ten percent earners in Spain was over 95,500 euros at purchasing power parity (PPP) as of 2022, almost nine times more than the average income of the bottom half earners. Looking at the distribution of national income in Spain, the earnings of the least affluent half of the population equated to 21 percent of the total country income in 2022, 0.1 percentage points less than one decade earlier. Moreover, the top one percent of earners in Spain accounted for over ten percent of the overall national income.

This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

This survey continues the original dataset "FSD1216 Democratization and Power Resources 1850-2000" collected by professor Tatu Vanhanen, which was a result of long-term research on democratization and power resources. The updated data have been collected from several written sources and published also in Vanhanen's book "The Limits of Democratization". The original sources of the numerical data published in the book have been collected to a separate document, the link to which can be found below in the section Other material: Original sources.

Eight variables are used to measure country-specific resource distribution: 1) Tertiary Enrollment Ratio (%); 2) Adult Literacy Rate (%); 3) Index of Intellectual Power Resources, IR; 4) Family Farms, FF (%); 5) Agricultural Population, AP (%); 6) Estimated Degree of Decentralization of Economic Power Resources, DD; 7) Index of Economic Power Resources, ER; and 8) Index of Power Resources, IPR. The variables have been updated from the previous dataset, and the calculation methods have been specified in some cases, or even reconstructed in a totally new way in some cases.

Tertiary Enrollment Ratio (%) is based on the percentage of students enrolled in universities and institutes of higher learning within the relevant age group. Adult Literacy Rate (%) is calculated as a percentage of adult population. Index of Intellectual Power Resources, IR is the mean of these two variables.

Family Farms, FF (%) means the percentage of total cultivated area or of total area of holdings. The proportion of agricultural population between 2000 and 2005 is coded in variable Agricultural Population, AP (%). Estimated Degree of Decentralization of Economic Power Resources, DD is calculated by adding the percentage of the population living under the poverty line with the richest 10 percent of the population, and then calculating the proportion of their income or expenditure compared to the whole population minus 10 percentage units, and then subtracting the sum from 100. In some cases, the calculated percentage has been increased or decreased for reasons given in detail in Vanhanen Vanhanen's book "The Limits of Democratization". Index of Economic Power Resources, ER is calculated by the formula ER = (FF * AP) + (DD * NAP), where NAP = 100-AP. The last variable, Index of Power Resources, IPR is calculated by dividing the product of Index of Intellectual Power Resources, IR and Index of Economic Power Resources, ER by 100.

To estimate county of residence of Filipinx healthcare workers who died of COVID-19, we retrieved data from the Kanlungan website during the month of December 2020.22 In deciding who to include on the website, the AF3IRM team that established the Kanlungan website set two standards in data collection. First, the team found at least one source explicitly stating that the fallen healthcare worker was of Philippine ancestry; this was mostly media articles or obituaries sharing the life stories of the deceased. In a few cases, the confirmation came directly from the deceased healthcare worker's family member who submitted a tribute. Second, the team required a minimum of two sources to identify and announce fallen healthcare workers. We retrieved 86 US tributes from Kanlungan, but only 81 of them had information on county of residence. In total, 45 US counties with at least one reported tribute to a Filipinx healthcare worker who died of COVID-19 were identified for analysis and will hereafter be referred to as “Kanlungan counties.” Mortality data by county, race, and ethnicity came from the National Center for Health Statistics (NCHS).24 Updated weekly, this dataset is based on vital statistics data for use in conducting public health surveillance in near real time to provide provisional mortality estimates based on data received and processed by a specified cutoff date, before data are finalized and publicly released.25 We used the data released on December 30, 2020, which included provisional COVID-19 death counts from February 1, 2020 to December 26, 2020—during the height of the pandemic and prior to COVID-19 vaccines being available—for counties with at least 100 total COVID-19 deaths. During this time period, 501 counties (15.9% of the total 3,142 counties in all 50 states and Washington DC)26 met this criterion. Data on COVID-19 deaths were available for six major racial/ethnic groups: Non-Hispanic White, Non-Hispanic Black, Non-Hispanic Native Hawaiian or Other Pacific Islander, Non-Hispanic American Indian or Alaska Native, Non-Hispanic Asian (hereafter referred to as Asian American), and Hispanic. People with more than one race, and those with unknown race were included in the “Other” category. NCHS suppressed county-level data by race and ethnicity if death counts are less than 10. In total, 133 US counties reported COVID-19 mortality data for Asian Americans. These data were used to calculate the percentage of all COVID-19 decedents in the county who were Asian American. We used data from the 2018 American Community Survey (ACS) five-year estimates, downloaded from the Integrated Public Use Microdata Series (IPUMS) to create county-level population demographic variables.27 IPUMS is publicly available, and the database integrates samples using ACS data from 2000 to the present using a high degree of precision.27 We applied survey weights to calculate the following variables at the county-level: median age among Asian Americans, average income to poverty ratio among Asian Americans, the percentage of the county population that is Filipinx, and the percentage of healthcare workers in the county who are Filipinx. Healthcare workers encompassed all healthcare practitioners, technical occupations, and healthcare service occupations, including nurse practitioners, physicians, surgeons, dentists, physical therapists, home health aides, personal care aides, and other medical technicians and healthcare support workers. County-level data were available for 107 out of the 133 counties (80.5%) that had NCHS data on the distribution of COVID-19 deaths among Asian Americans, and 96 counties (72.2%) with Asian American healthcare workforce data. The ACS 2018 five-year estimates were also the source of county-level percentage of the Asian American population (alone or in combination) who are Filipinx.8 In addition, the ACS provided county-level population counts26 to calculate population density (people per 1,000 people per square mile), estimated by dividing the total population by the county area, then dividing by 1,000 people. The county area was calculated in ArcGIS 10.7.1 using the county boundary shapefile and projected to Albers equal area conic (for counties in the US contiguous states), Hawai’i Albers Equal Area Conic (for Hawai’i counties), and Alaska Albers Equal Area Conic (for Alaska counties).20

Adjusted prevalence ratio for avoiding visiting a dental professional in the past three years due to cost, from 2003-2013-14.

The bottom 50 percent in Argentina earned on average 15,057 U.S. dollars at purchasing power parity (PPP) before income taxes as of 2022, while individuals in the top one percent earned pre-tax more than 686,433 dollars. Looking at the percentage distribution of wealth in Argentina, the poorest half held 5.7 percent of the total in 2021. Moreover, the top one percent in the South American country accounted for 25.7 percent of the overall national wealth.

Baseline characteristics of Ontarians in the five cycles of the Canadian Community Health Survey (CCHS).

The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally and by region and country. Calculated each year by the International Food Policy Research Institute (IFPRI), the GHI highlights successes and failures in hunger reduction and provide insights into the drivers of hunger, and food and nutrition security. The 2014 GHI has been calculated for 120 countries for which data on the three component indicators are available and for which measuring hung er is considered most relevant. The GHI calculation excludes some higher income countries because the prevalence of hunger there is very low. The GHI is only as current as the data for its three component indicators. This year's GHI reflects the most recent available country level data for the three component indicators spanning the period 2009 to 2013. Besides the most recent GHI scores, this dataset also contains the GHI scores for four other reference periods- 1990, 1995, 2000, and 2005. A country's GHI score is calculated by averaging the percentage of the population that is undernourished, the percentage of children youn ger than five years old who are underweight, and the percentage of children dying before the age of five. This calculation results in a 100 point scale on which zero is the best score (no hunger) and 100 the worst, although neither of these extremes is reached in practice. The three component indicators used to calculate the GHI scores draw upon data from the following sources: 1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1990, 1995, 2000, 2005, and 2014GHI scores. Undernourishment data for the 2014 GHI are for 2011-2013. 2. Child underweight: The "child underweight" component indicator of the GHI scores includes the latest additions to the World Health Organization's (WHO) Global Database on Child Growth and Malnutrition, and additional data from the joint data base by the United Nations Children's Fund (UNICEF), WHO and the World Bank; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey reports; and statistical tables from UNICEF. For the 2014 GHI, data on child underweight are for the latest year for which data are available in the period 2009-2014. 3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1990, 1995, 2000, and 2005, and 2014 GHI scores. For the 2014 GHI, data on child mortality are for 2012. Resources related to 2014 Global Hunger Index

In March 2025, the top one percent of earners in the United Kingdom received an average pay of over 16,000 British pounds per month, compared with the bottom ten percent of earners who earned around 800 pounds a month.

The statistic shows the gross domestic product (GDP) per capita in the United States from 1987 to 2024, with projections up until 2030. In 2024, the gross domestic product per capita in the United States amounted to around 85,812.18 U.S. dollars. Thus, the United States is one of the countries with the largest GDP per capita worldwide. See the U.S. GDP growth rate here and the US GDP for further information. For comparison, per capita GDP in China had reached about 5,553 U.S. dollars in 2011. Gross domestic product of the United States The gross domestic product (GDP) of a country is an economic key figure, as it represents the market value of goods and services produced in a country within one year. The United States’ GDP) is increasing consistently, and it is expected to continue growing. On a global scale, the U.S. share of GDP adjusted for Purchasing Power Parity has been in the range of 20 percent over the last few years, give or take a few percentage points. The United States has the largest GDP worldwide, with a significant lead over China, Japan and Germany. Gross domestic product per capita is annual GDP divided by the average population from the same year, which allows for a GDP calculation per inhabitant of a country. Thus, a country with a high GDP, like the United States, can still have a low GDP per capita. Consequently, if compared to other countries, the United States does not rank among the top ten on this list .

In 2024, the average annual full-time earnings for the top ten percent of earners in the United Kingdom was 72,150 British pounds, compared with 22,763 for the bottom ten percent of earners. As of this year, the average annual earnings for all full-time employees was 37,430 pounds, up from 34,963 pounds in the previous year. Strong wage growth continues in 2025 As of February 2025, wages in the UK were growing by approximately 5.9 percent compared with the previous year, with this falling to 5.6 percent if bonus pay is included. When adjusted for inflation, regular pay without bonuses grew by 2.1 percent, with overall pay including bonus pay rising by 1.9 percent. While UK wages have now outpaced inflation for almost two years, there was a long period between 2021 and 2023 when high inflation in the UK was rising faster than wages, one of the leading reasons behind a severe cost of living crisis at the time. UK's gender pay gap falls in 2024 For several years, the difference between average hourly earnings for men and women has been falling, with the UK's gender pay gap dropping to 13.1 percent in 2024, down from 27.5 percent in 1997. When examined by specific industry sectors, however, the discrepancy between male and female earnings can be much starker. In the financial services sector, for example, the gender pay gap was almost 30 percent, with professional, scientific and technical professions also having a relatively high gender pay gap rate of 20 percent.

In 2023, just over 55.36 percent of Nepal’s gross domestic product (GDP) came from its service sector. Agriculture contributed the second largest amount, while eleven percent came from the industry sector. The majority of the Nepalese population lives in rural areas, and are depended on agriculture for their livelihood. A struggling but strong population Around 63 percent of Nepal’s 29.6 million inhabitants are part of the workforce, i.e. between 15 to 64 years old. Though the country has a very low unemployment rate (probably due to the fact that agricultural occupations are usually not taken into account when calculating national unemployment) , it is considered a country weighed down by high poverty, with a consistent trade deficit and a volatile inflation rate. However, recent perceptions of children’s living standards when they grow up in Nepal are overwhelmingly of the opinion that the standard of living is better. The Nepalese economy Nepal has robust ties with the country of India, which is both the country’s main export partner, as well as its main import partner . Nepal’s economy has been under the influence of political instability over the course of the country’s history: a monarchy until the early 2000s, it then became a republic with a Maoist-dominated government. Lately, Nepal made several attempts to improve its economic situation, but still relies heavily on remittances and foreign aid.