The province of Cebu topped the ranking of the wealthiest provinces in the Philippines, with assets amounting to approximately 310 billion Philippine pesos in 2023. Following by a large margin were the provinces of Rizal and Camarines Sur.

For the 2022 national elections, the most vote-rich province in the Philippines was Cebu, with around **** million registered voters. This was followed by Cavite and Pangasinan with *** million and *** million registered voters, respectively.

Wealth indicators and distributions, by household characteristics such as income quintile, age, housing tenure and composition, Canada, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.

In 2024, the median household wealth in Seoul, South Korea amounted to around *** million South Korean won, followed by Sejong with about *** million South Korean won. The average wealth of households was highest in the capital Seoul and lowest in Chungnam.

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...);  Statistics (3 items: Value; Distribution of value; Value per household);  Characteristics (1 item: All households);  Wealth (11 items: Total assets; Financial assets; Life insurance and pensions; Other financial assets; ...).

In 2023, Quezon was the wealthiest city in the Philippines, with approximately 449 billion Philippine pesos worth of assets. Following by a large margin was Makati City. In that year, the province of Cebu was the wealthiest province in the country.

The income quintiles refer to the quintiles estimated at the Canada level and not at the provincial/territorial level. The Income quintiles are assigned based on the equalized household disposable income. This takes into account differences in household size and composition. The Oxford-modified equivalence scale is used; it assigns a value of 1 to the first adult, 0.5 to each additional person aged 14 and over, and 0.3 for all children under 14. Age groups refer to the age group of the major income earner. Life insurance and pensions include the value of all life insurance and employer pension plans, termination basis. Excludes public plans administered or sponsored by governments: Old Age Security (OAS) including the Guaranteed Income Supplement (GIS) and the Spouse's Allowance (SPA), as well as the Canada and Quebec Pension Plans (CPP/QPP). Other financial assets include total currency and deposits, Canadian short-term paper, Canadian bonds and debentures, foreign investments in paper and bonds, mortgages, equity and investment funds, and other receivables. Other non-financial assets include consumer durables, machinery and equipment, and intellectual property products. Excludes accumulation of value of collectibles including coins, stamps and art work. Other liabilities include major credit cards and retail store cards, gasoline station cards, etc., vehicle loans, lines of credit, student loans, other loans from financial institutions and other money owed. The sum of the values for net worth and its components by province and region is less than the total for Canada as they exclude the territories. The coefficients of variation from Statistics Canada's Survey of Financial Security for 2012 and 2016, which serve as indicators of the accuracy of these estimates for net worth and its components, are available in the appendix to Distributions of Household Economic Accounts, estimates of asset, liability and net worth distributions, 2010 to 2019, technical methodology and quality report for the March 2020 release. Distribution of value" is the share of a wealth component (such as total assets) attributable to the various household characteristics (such as lowest income quintile)." This table has been archived and replaced by table 36100661.

In 2023, there were *** high schools in Gyeonggi Province, South Korea, the highest number among all cities and provinces. Seoul followed with *** high schools.

Comprehensive dataset of 15 High schools in Province of Potenza, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

In 2023, the annual per capita gross domestic product (GDP) in different provinces, municipalities, and autonomous regions in China varied from approximately 200,300 yuan in Beijing municipality to roughly 47,900 yuan in Gansu province. The average national per capita GDP crossed the threshold of 10,000 U.S. dollars in 2019 and reached around 89,400 yuan in 2023. Regional economic differences in China The level of economic development varies considerably in different parts of China. Four major geographic and economic regions can be discerned in the country: The economically advanced coastal regions in the east, less developed regions in Northeast and Central China, and the developing regions in the west. This division has deep historical roots reflecting the geography of each region and their political past and present. Furthermore, regional economic development closely correlates with regional urbanization rates, which closely resembles the borders of the four main economic regions. Private income in different parts of China Breaking the average income figures further down by province, municipality, or autonomous region reveals that the average disposable income in Shanghai or Beijing is on average more than three times higher than in Tibet or Gansu province. In rural areas, average disposable income is often only between one third and one half of that in urban areas of the same region. Accordingly, consumer expenditure per capita in urban areas reaches the highest levels in Shanghai, Beijing, and the coastal regions of China.

Wealth and its subcomponent distributions, dollar values and dollar value per household, by household characteristics such as income quintile, age, housing tenure and composition, Canada, regions and provinces, annual 2010 to 2019 and quarterly starting 2020.

This dataset collection is a compilation of related tables sourced from the Statistics Finland (Tilastokeskus) website, based in Finland. The tables form a comprehensive and cohesive collection, with each table representing a unique set of related data. The data in these tables have been compiled over several years, providing a rich historical perspective. The dataset is provided via the Statistical Office's service interface (WFS), which is a testament to its reliability and credibility. The collection is meticulously organized into rows and columns, making it easy to understand and analyze. It offers a wealth of information and insights, making it a valuable resource for anyone interested in statistical data from Finland. This dataset is licensed under CC BY 4.0 (Creative Commons Attribution 4.0, https://creativecommons.org/licenses/by/4.0/deed.fi).

BackgroundUnderstanding the clustering of two or more risk factors of non-communicable disease, such as smoking, overweight/obesity, and hypertension, among women of reproductive age could facilitate the design and implementation of strategies for prevention and control measures. This study examined the factors associated with smoking, overweight/obesity, and hypertension among Nepalese women of reproductive age (15–49 years).MethodsThis study used the Nepal Demographic and Health Surveys (NDHS) 2016 (6,079 women for smoking and overweight/obesity, 6076 for hypertension) and 2022 (6,957 women for overweight/obesity and smoking status and 3,749 women for hypertension) for comparison of trends of NCD risk factors among women aged 15–49 years. Additionally, for each participant, risk factors score (range of 0 to 3) was created by summing individual risk factors. We assessed the determinants of risk factor clustering using multivariable Poisson regression models with robust sandwich variance estimator to calculate adjusted prevalence ratios using NDHS 2022.ResultsThe national prevalence of overweight/obesity increased from 22.2% in 2016 to 29.2% in 2022 among women of reproductive age. In 2022, the prevalence for smoking, overweight/obesity, and hypertension were 3.8%, 29.2%, and 9.6%, respectively. More than one in four women (28.7%) had one NCD risk factor, while 6.5% had two such risk factors. Higher aged women (40–49 years) were more likely to have multiple NCD risk factors than those aged 15–29 years (APR: 3.19; 95% CI: 2.68–3.80). Those in the richest wealth quintile (APR: 1.52; 95% CI: 1.24–1.85), as well as married (APR: 3.02; 95% CI: 2.43–3.76) and widowed/divorced (APR: 2.85; 95% CI: 2.14–3.80) were more likely to have multiple NCD risk factors. Women from Koshi province (APR: 1.74; 95% CI: 1.41–2.15) had more NCD risk factors than those from the Sudurpaschim province. Working women also had a higher prevalence of NCD risk factors compared to non-working women (APR: 1.23; 95% CI: 1.06–1.43). Additionally, Hill Janajatis (APR: 1.44; 95% CI: 1.21–1.72) and Dalits (APR: 1.42; 95% CI: 1.15–1.75) women were more likely to have NCD risk factors compared to women of Brahmin hill origin.ConclusionsClustering of two or more NCD risk factors was higher among women aged ≥30 years, those who are currently married or widowed/divorced/separated, working women, and individuals from the wealthiest socioeconomic groups. A higher burden of risk factors underscores the importance of targeted public health interventions, particularly among women from advantaged socio-economic groups, those of affluent regions, and in the workplace.

This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic Region; Newfoundland and Labrador; Prince Edward Island; ...); Statistics (3 items: Value; Distribution of value; Value per household); Characteristics (1 item: All households); Wealth (11 items: Total assets; Financial assets; Life insurance and pensions; Other financial 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 geography-specific; 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% income threshold of Nova Scotian tax filers. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

Indonesia Actual Receipt: Java: Central Java: Local Government Revenue: Original: Income of Regional Govt Corporeated and Management of Separated Reg Govt Wealth data was reported at 363.963 IDR bn in 2017. This records an increase from the previous number of 340.397 IDR bn for 2016. Indonesia Actual Receipt: Java: Central Java: Local Government Revenue: Original: Income of Regional Govt Corporeated and Management of Separated Reg Govt Wealth data is updated yearly, averaging 209.512 IDR bn from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 363.963 IDR bn in 2017 and a record low of 12.808 IDR bn in 2004. Indonesia Actual Receipt: Java: Central Java: Local Government Revenue: Original: Income of Regional Govt Corporeated and Management of Separated Reg Govt Wealth data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Government and Public Finance – Table ID.FB015: Actual Receipt and Expenditure: by Province: Central Java.

This statistic indicates the number of people owning more than *********** yuan in mainland China as of January 2024, by region. In January 2024, approximately ******* millionaires lived in Guangdong province, whereas around ******* millionaires lived in Beijing.

Comprehensive dataset of 10 High schools in Province of Isernia, Italy as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The geology data set for this map includes arcs, polygons, and labels that outline and describe the general geologic age and type of bedrock of Iran. The geologic provinces data set includes arcs, polygons, and labels of geologic and petroleum provinces interpreted and designated by R.M. Pollastro from a number of literature and map resources to assist in the assessment of oil and gas resources for the USGS World Energy Project. The oil and gas field centerpoints data set is a point coverage that marks the approximate centerpoints of oil and gas fields in Iran. Political boundaries are provided to show the general location of country and/or other reference 'political' boundaries.

Sociodemographic characteristics of reproductive-aged women (15–49 years) by type of non-communicable disease risk factors (NDHS 2022).