China % of Household grouped by Annual Income: Urban:RMB10000-15000 data was reported at 1.200 % in 2011. This records a decrease from the previous number of 1.980 % for 2010. China % of Household grouped by Annual Income: Urban:RMB10000-15000 data is updated yearly, averaging 3.840 % from Dec 2005 (Median) to 2011, with 7 observations. The data reached an all-time high of 10.100 % in 2005 and a record low of 1.200 % in 2011. China % of Household grouped by Annual Income: Urban:RMB10000-15000 data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Household Income Distribution: Urban.

In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

United States Household Income: Under $15,000 data was reported at 10.700 % in 2017. This records a decrease from the previous number of 11.000 % for 2016. United States Household Income: Under $15,000 data is updated yearly, averaging 12.200 % from Mar 1967 (Median) to 2017, with 51 observations. The data reached an all-time high of 15.400 % in 1967 and a record low of 9.800 % in 1999. United States Household Income: Under $15,000 data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H049: Household Income: by Income Level.

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.

China % of Household grouped by Annual Net Income: RH:RMB14000-15000 data was reported at 2.394 % in 2012. This records an increase from the previous number of 1.859 % for 2011. China % of Household grouped by Annual Net Income: RH:RMB14000-15000 data is updated yearly, averaging 1.236 % from Dec 2005 (Median) to 2012, with 5 observations. The data reached an all-time high of 2.394 % in 2012 and a record low of 0.221 % in 2005. China % of Household grouped by Annual Net Income: RH:RMB14000-15000 data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Household Income Distribution: Rural.

In 2023, around 10.3 percent of U.S. private households had an annual income between 35,000 and 49,999 U.S. dollars in the United States. Income levels between 100,000 to 149,999 U.S. dollars made up the largest share of the population at 16.5 percent in 2023.

Thailand Household: Percentage: NE: HI < THB10001 to 15000 data was reported at 22.300 % in 2017. This records a decrease from the previous number of 27.400 % for 2016. Thailand Household: Percentage: NE: HI < THB10001 to 15000 data is updated yearly, averaging 22.300 % from Dec 2006 (Median) to 2017, with 11 observations. The data reached an all-time high of 27.400 % in 2016 and a record low of 14.700 % in 2006. Thailand Household: Percentage: NE: HI < THB10001 to 15000 data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G041: Household Income & Assets Statistics.

BackgroundAlthough most Indians live in rural settings, data on cardiovascular disease risk factors in these groups are limited. We describe the association between socioeconomic position and cardiovascular disease risk factors in a large rural population in north India.MethodsWe performed representative, community-based sampling from 2013 to 2014 of Solan district in Himachal Pradesh. We used education, occupation, household income, and household assets as indicators of socioeconomic position. We used tobacco use, alcohol use, low physical activity, obesity, hypertension, and diabetes as risk factors for cardiovascular disease. We performed hierarchical multivariable logistic regression, adjusting for age, sex and clustering of the health sub-centers, to evaluate the cross-sectional association of socioeconomic position indicators and cardiovascular disease risk factors.ResultsAmong 38,457 participants, mean (SD) age was 42.7 (15.9) years, and 57% were women. The odds of tobacco use was lowest in participants with graduate school and above education (adjusted OR 0.11, 95% CI 0.09, 0.13), household income >15,000 INR (adjusted OR 0.35, 95% CI 0.29, 0.43), and highest quartile of assets (adjusted OR 0.28, 95% CI 0.24, 0.34) compared with other groups but not occupation (skilled worker adjusted OR 0.93, 95% CI 0.74, 1.16). Alcohol use was lower among individuals in the higher quartile of income (adjusted OR 0.75, 95% CI 0.64, 0.88) and assets (adjusted OR 0.70, 95% CI 0.59, 0.82). The odds of obesity was highest in participants with graduate school and above education (adjusted OR 2.33, 95% CI 1.85, 2.94), household income > 15,000 Indian rupees (adjusted OR 1.89, 95% CI 1.63, 2.19), and highest quartile of household assets (adjusted OR 2.87, 95% CI 2.39, 3.45). The odds of prevalent hypertension and diabetes were also generally higher among individuals with higher socioeconomic position.ConclusionsIndividuals with lower socioeconomic position in Himachal Pradesh were more likely to have abnormal behavioral risk factors, and individuals with higher socioeconomic position were more likely to have abnormal clinical risk factors.

This statistic depicts the distribution of expenditure of households earning between 10,000 and 15,000 Malaysian Ringgit per month across Malaysia in 2016, by category. In this year, households where the income amounted to between 10,000 and 15,000 Malaysian Ringgit per month spent around 26 percent of their income on food and non-alcoholic beverages.

Bangladesh HIES: Average Monthly Income: 15,000 to 17,499 Tk. data was reported at 16,179.750 BDT in 2010. Bangladesh HIES: Average Monthly Income: 15,000 to 17,499 Tk. data is updated yearly, averaging 16,179.750 BDT from Dec 2010 (Median) to 2010, with 1 observations. Bangladesh HIES: Average Monthly Income: 15,000 to 17,499 Tk. data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.H010: Household Income and Expenditure Survey: Average Monthly Income per Household: by Income Group.

Thailand Household: Percentage: SR: HI < THB10001 to 15000 data was reported at 21.200 % in 2016. This records an increase from the previous number of 18.400 % for 2015. Thailand Household: Percentage: SR: HI < THB10001 to 15000 data is updated yearly, averaging 20.600 % from Dec 2006 (Median) to 2016, with 10 observations. The data reached an all-time high of 25.700 % in 2010 and a record low of 17.370 % in 2013. Thailand Household: Percentage: SR: HI < THB10001 to 15000 data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G042: Household Income & Assets Statistics.

In the first quarter of 2025, almost two-thirds percent of the total wealth in the United States was owned by the top 10 percent of earners. In comparison, the lowest 50 percent of earners only owned 2.5 percent of the total wealth. Income inequality in the U.S. Despite the idea that the United States is a country where hard work and pulling yourself up by your bootstraps will inevitably lead to success, this is often not the case. In 2023, 7.4 percent of U.S. households had an annual income under 15,000 U.S. dollars. With such a small percentage of people in the United States owning such a vast majority of the country’s wealth, the gap between the rich and poor in America remains stark. The top one percent The United States was the country with the most billionaires in the world in 2025. Elon Musk, with a net worth of 342 billion U.S. dollars, was among the richest people in the United States in 2025. Over the past 50 years, the CEO-to-worker compensation ratio has exploded, causing the gap between rich and poor to grow, with some economists theorizing that this gap is the largest it has been since right before the Great Depression.

Thailand Household: Percentage: NR: CI < THB10001 to 15000 data was reported at 8.600 % in 2016. This records a decrease from the previous number of 10.700 % for 2015. Thailand Household: Percentage: NR: CI < THB10001 to 15000 data is updated yearly, averaging 7.050 % from Dec 2006 (Median) to 2016, with 10 observations. The data reached an all-time high of 10.700 % in 2015 and a record low of 4.700 % in 2010. Thailand Household: Percentage: NR: CI < THB10001 to 15000 data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G042: Household Income & Assets Statistics.

In 2023, it was estimated that around 37 percent of adults with an annual income of less than 15,000 U.S. dollars were obese, compared to 29 percent of those with an annual income of 75,000 dollars or more. This statistic shows the percentage of U.S. adults who were obese in 2023, by income.

This statistic depicts the distribution of expenditure of households earning more than 15,000 Malaysian Ringgit per month across Malaysia in 2016, by category. In this year, households where the income amounted to more than 15,000 Malaysian Ringgit per month spent around 26 percent of their income on housing and utility expenses.

Thailand Household: Percentage: NE: CI < THB10001 to 15000 data was reported at 9.900 % in 2017. This records an increase from the previous number of 7.300 % for 2016. Thailand Household: Percentage: NE: CI < THB10001 to 15000 data is updated yearly, averaging 6.400 % from Dec 2006 (Median) to 2017, with 11 observations. The data reached an all-time high of 9.900 % in 2017 and a record low of 3.300 % in 2006. Thailand Household: Percentage: NE: CI < THB10001 to 15000 data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G041: Household Income & Assets Statistics.

Bangladesh HIES: Average Monthly Expenditure: Rural: 15,000 to 17,499 Tk. data was reported at 13,336.610 BDT in 2010. Bangladesh HIES: Average Monthly Expenditure: Rural: 15,000 to 17,499 Tk. data is updated yearly, averaging 13,336.610 BDT from Dec 2010 (Median) to 2010, with 1 observations. Bangladesh HIES: Average Monthly Expenditure: Rural: 15,000 to 17,499 Tk. data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.H012: Household Income and Expenditure Survey: Average Monthly Expenditure per Household: by Income Group.

Bangladesh HIES: Average Monthly Expenditure: Urban: 15,000 to 17,499 Tk. data was reported at 17,041.990 BDT in 2010. Bangladesh HIES: Average Monthly Expenditure: Urban: 15,000 to 17,499 Tk. data is updated yearly, averaging 17,041.990 BDT from Dec 2010 (Median) to 2010, with 1 observations. Bangladesh HIES: Average Monthly Expenditure: Urban: 15,000 to 17,499 Tk. data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics . The data is categorized under Global Database’s Bangladesh – Table BD.H012: Household Income and Expenditure Survey: Average Monthly Expenditure per Household: by Income Group.

Thailand Household Activities: 10,001 - 15,000 Baht data was reported at 29.090 Person th in Mar 2018. This records a decrease from the previous number of 40.520 Person th for Dec 2017. Thailand Household Activities: 10,001 - 15,000 Baht data is updated quarterly, averaging 29.090 Person th from Mar 2014 to Mar 2018, with 17 observations. The data reached an all-time high of 52.890 Person th in Sep 2017 and a record low of 13.700 Person th in Jun 2014. Thailand Household Activities: 10,001 - 15,000 Baht data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.G014: Employee By Industry, Income Class, Whole Kingdom.

家庭收入：SA：15,000美元以下在04-01-2025达63.6001985=100，相较于03-01-2025的65.3001985=100有所下降。家庭收入：SA：15,000美元以下数据按月更新，01-01-1980至04-01-2025期间平均值为71.8001985=100，共544份观测结果。该数据的历史最高值出现于12-01-1999，达123.6001985=100，而历史最低值则出现于03-01-2009，为21.9001985=100。CEIC提供的家庭收入：SA：15,000美元以下数据处于定期更新的状态，数据来源于The Conference Board，数据归类于全球数据库的美国 – Table US.H: Consumer Confidence Index: Household Income。