7 datasets found
  1. Expenditure on mortgage and rent as a proportion of total expenditure and...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 14, 2023
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    Office for National Statistics (2023). Expenditure on mortgage and rent as a proportion of total expenditure and disposable income, UK [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/expenditure/datasets/expenditureonmortgageandrentasaproportionoftotalexpenditureanddisposableincomeuk
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    xlsxAvailable download formats
    Dataset updated
    Jul 14, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Expenditure on rent by renters and mortgages by mortgage holders, by region and age from the Living Costs and Food Survey for the financial year ending 2022. Data is presented as a proportion of total expenditure and a proportion of disposable income.

  2. Housing Cost Burden

    • data.ca.gov
    • data.chhs.ca.gov
    • +4more
    pdf, xlsx, zip
    Updated Aug 28, 2024
    + more versions
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    California Department of Public Health (2024). Housing Cost Burden [Dataset]. https://data.ca.gov/dataset/housing-cost-burden
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    xlsx, pdf, zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

  3. F

    Consumer Price Index for All Urban Consumers: Rent of Primary Residence in...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHA
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    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to May 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

  4. k

    Tourism Establishments Survey

    • datasource.kapsarc.org
    Updated May 26, 2025
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    (2025). Tourism Establishments Survey [Dataset]. https://datasource.kapsarc.org/explore/dataset/tourism-establishments-survey/
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    Dataset updated
    May 26, 2025
    Description

    Flights without a full package, Annual Average, Use electronic programs, Government Procedures and Bureaucracy, Workers, Total tourism establishments, Constraints facing setting up or practicing economic activities, Electricity Price, Access to Telecommunication (Phone & Internet), Road Passenger Transport, Number of international passengers, Water Price, Percentage distribution of tourism establishments which use electronic programs, Flights within a full package, Low demand, Percentage %, Labour Laws & Regulations, Electricity Supply (without interruption), Laptop, Percentage distribution of tourism establishments which use social media, Employees, Hotel rooms, Salaries and wages, Availability of Skilled Labour, Inbound international flights, Tourism Direct Gross Value Added, Water Passenger Transport, Number of local passengers, Average duration of residence in accommodation units, Other Activities, Professionals, Other Activities, Non-cloud Data, Railways Passenger Transport, Percentage distribution of devices used in tourism establishments, Operating surplus, Fuel Price, Managers, nights, Operating expenditure, Main Activity, Non-Saudi, Operating rate of international flights, Major performance indicators for passengers transport services, Licenses & Permits, Do not use social media, Cultural Activities, Outbound international flights, Land Passenger Transport, Workers problems, Furniture Apartments, Major challenges facing business environment development, There are constraints, Female, Transport Equipment Rental, Percentage distribution of tourism establishments that have cloud data, Number of available seats for international flights, Average daily price for accommodation units in Saudi Riyal, Number of available seats for local flights, Operating revenues distribution, Food and Beverage Serving Activities, Local Competition, Travel Agencies and Reservation Services, Cloud Data, Operating rate of local flights, Do not have Accounting Books, Security & Stability, Benefits and allowances, Water Supply (without interruption), Railway Passenger Transport, Percentage distribution of accounting books or budget usage, Percentage of sold flights for passengers by flight type, Operating revenues, Other Specific Tourism Characteristic Services, Government Inspection Procedures, Number, Fuel Supply (without interruption), Access to Finance, Thousands Riyals, Accommodation for Visitors, Total compensations, Gross value added of the tourism industries = operating revenues - operating expenses, Technicians, Local flights, Saudi Riyal per day, Total, Do not use electronic programs, Land / Rent of Space, Have Accounting Books, Retail trade of Country-Specific Tourism Characteristic Goods, No constraints, Air Passenger Transport, Employment percentage, Saudi, Occupancy rate for accommodation units, Handheld or tablet, Average daily income for accommodation units in Saudi Riyal, Desktop (PC), Specialists, -, Sports and Recreational Activities, Use social media, Number of employees, wages and Salaries, compensation, Flight, Tourism Establishments Survey, Economic Activity, Occupations

    Saudi Arabia

    Explore the Tourism Establishments Survey dataset in Saudi Arabia to uncover key insights on economic activities, workers, government procedures, and more. Access data on airline passengers, accommodation rates, transportation services, and challenges facing the tourism industry. Discover valuable information to enhance your understanding of the tourism sector in Saudi Arabia.Follow data.kapsarc.org for timely data to advance energy economics research..Preliminary estimated data based on supply and use tables.Gross value added of the tourism industries = operating revenues - operating expenses.Notes:Full package deals: packages that include the flight ticket as well as other services, such as the hotel booking, car rental... etc. Source: Administrative data from the Ministry of Human Resources and Social Development, Ministry of Tourism and the Saudi Railway Company

  5. Kenya Integrated Household Budget Survey 2015-2016 - Kenya

    • statistics.knbs.or.ke
    • datafirst.uct.ac.za
    Updated Jun 1, 2022
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    Kenya National Bureau of Statistics (2022). Kenya Integrated Household Budget Survey 2015-2016 - Kenya [Dataset]. https://statistics.knbs.or.ke/nada/index.php/catalog/13
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    Dataset updated
    Jun 1, 2022
    Dataset authored and provided by
    Kenya National Bureau of Statistics
    Time period covered
    2015 - 2016
    Area covered
    Kenya
    Description

    Abstract

    The 2015/16 Kenya Integrated Household Budget Survey (KIHBS) was conducted over a 12-month period to obtain up-to-date data on a range of socioeconomic indicators used to monitor the implementation of development initiatives. The Survey collected data on household characteristics, housing conditions, education, general health characteristics, nutrition, household income and credit, household transfers, information communication technology, domestic tourism, shocks to household welfare and access to justice. The findings are presented at national, county, rural and urban domains.

    Household Characteristics The findings of the 2015/16 KIHBS basic characteristics of the population show that the sex ratio is 97.5. About 70 per cent of households were headed by males and the reported average household size was 4 members. The age dependency ratio declined to 81.6 per cent in 2015/16 KIHBS as compared to 84.0 per cent recorded in 2005/06 KIHBS. Majority (54.4%) of the population aged 18 years and above are in monogamous unions. At the national level, 8.4 per cent of children were orphans.

    Housing Conditions and amenities Information regarding housing conditions and ownership, access to water, energy, sanitation and waste disposal was collected in the 2015/16 KIHBS. Bungalow was the most common dwelling type of housing occupied by 55.4 per cent of the households. About 60 per cent of households reported that they owned the dwellings that they resided in. The findings show that 72.6 per cent of households use improved drinking water sources. The statistics show that six out ten households had access to improved human waste disposal methods. Overall, 41.4 per cent of households were connected to electricity from the main grid.

    Education Findings on education are presented for; pre-primary, primary, secondary, middle level college and university levels; and informal education, Madrassa/Duksi. Nationally, 89.4 per cent of the population aged three years and above had ever attended school. The overall Gross Attendance (GAR) for pre-primary, primary and secondary levels was 94.4 per cent, 107.2 per cent and 66.2 per cent, respectively. The population aged 3 years and above that did not have any educational qualification was 49.7 per cent. Most of the population aged 3 years and above that had not attended school cited not being allowed to attend by parent(s) as the reason for non-attendance. The proportion of the population aged 15-24 years that was literate, based on respondents' self -assessment, was 88.3 per cent.

    General Health Characteristics General health characteristics discussed in the report comprise: morbidity by sex, health seeking behaviour, utilization of health care services and facilities, disability and engagement in economic activities and health insurance coverage. Information on child survival such as place of delivery, assistance during delivery, immunization and incidences of diarrhoea is also presented. The results show that two out of ten individuals reported a sickness or injury over the four weeks preceding the survey. Majority of the individuals (55.5 %) with a sickness or injury visited a health worker at a health facility for diagnosis. Disabilities were reported by 2.8 per cent of the population. Slightly more than a third of persons with disabilities reported having difficulty in engaging in economic activities. moderately stunted. A higher proportion (32.4%) of children in the rural areas were moderately stunted compared to those in urban areas (24.5%). Overall, 13.0 per cent of children were moderately wasted while 6.7 per cent were moderately underweight. The statistics further indicate that 98.8 per cent of children aged 0-59 months were ever breast fed. The mean length of breastfeeding nationally stood at 16.8 months. Porridge was the most common type of first supplement given to majority (35.9%) of children aged 0-23 months. The survey findings show that eight out of ten children participated in community-based nutritional programmes.

    Household Income and Credit Household income is the aggregate earnings of all household members. It includes all forms of income arising from employment, household enterprises, agricultural produce, rent, pension and financial investment. The discussion in this report focuses on income from rent, pension, financial investment and other related incomes. Information is also provided on access and sources of credit. At national level, 7.2 per cent of households reported having received income from rent, pension, financial investment and other related incomes within the 12 months preceding the survey. A third of the households sought credit and over 90 per cent successfully acquired credit.

    Household Transfers Transfers constitute income, in cash or in kind, that the household receives without working for it and it augments household income by improving its welfare. Three out of ten households reported having received cash transfers within the 12 months preceding the survey period. The average amount received per household from cash transfers was KSh. 27,097. Majority of households received cash transfers through a family member. Money transfer agents were the preferred mode of transmitting money for most beneficiaries of transfers received from outside Kenya. Over half of the households gave out transfers in kind.

    Information and Communication Technology The 2015/16 KIHBS collected information on ICT equipment use and ownership. Findings show that three in every four individuals aged 18 years and above owned a mobile phone with an average number of 1.3 SIM cards per person. The most commonly used ICT equipment is the radio and mobile phone, reported by 79.3 per cent and 68.5 per cent of individuals aged 3 years and above, respectively. The highest proportion (50.3%) of those that did not own a mobile phone cited its high cost as the reason. Urban areas had the highest proportion of population with ownership of a mobile phone. Nairobi City County had the highest proportion of population with a mobile phone while Turkana County had the lowest. The population aged 3 years and above that reported using internet over the last three months preceding the survey was 16.6 per cent. Three in every ten households had internet connectivity and use of internet in mobility was reported as the most common place of use of internet. The internet was used mainly for social networking. No need to use the internet was the most predominant reason for not using the internet reported by 30.1 per cent of those who did not use it.

    Domestic Tourism Domestic tourism comprises activities of residents travelling to and staying at least over a night in places outside their usual environment within the country, for not more than 12 months, for leisure, business or other purposes. At national level, 13.4 per cent of individuals reported that they travelled within Kenya in the 3 months preceding the survey. Visiting friends and relatives was reported by the highest proportion (71.1%) of individuals taking trips. Majority of those who took a trip (66.4%) reported that they sponsored themselves. Transport costs accounted for the largest share (38.4%) of expenditure on domestic tourism. Majority of those who did not take a trip reported high cost as a reason.

    Shocks to Household Welfare A shock is an event that may trigger a decline in the well-being of an individual, a community, a region, or even a nation. The report presents information on shocks which occurred during the five-year period preceding the survey and had a negative impact on households' economic status or welfare. Three in every five households reported having experienced at least one shock within the five years preceding the survey. A large rise infood prices was reported by the highest proportion (30.1 per cent) of households as a first severe shock. Most households reported that they spent their savings to cope with the shock(s).

    Justice The survey sought information from household members on their experiences regarding grievances/disputes, resolution mechanisms, status of grievance/dispute resolution and costs incurred. Majority of households (26.2%) experienced grievances related to succession and inheritance. Approximately seven out of ten households that experienced grievances reported that they were resolved by parties from whom they sought interventions. Lawyers on average received the highest amount of money (KSh 59,849) paid to a primary organization for grievance resolution through a formal channel. Courts accounted for the highest informal costs averaging KSh 6,260 in grievance resolution.

    Geographic coverage

    The survey covers all the Counties in Kenya based on the following levels National, Urban, Rural and County

    Analysis unit

    Households Indviduals within Households and Community

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Design and Sample Selection The second Kenya Integrated Household Budget Survey 2015/16 will be the eighth household budget survey to be conducted in Kenya following those conducted in 1981/82, 1983/84, 1992, 1994, 1997 and 2005/06. The KIHBS 2015/16 is a multi-indicator survey in nature with the main objective of updating the household consumption patterns in all the Counties.

    KIHBS 2015/16 is designed to provide estimates for various indicators at the County-level. A total of 50 study domains are envisaged. These are; all the forty-seven (47) counties (Each as a separate domain), urban and rural (each as a separate domain at National level), and lastly the National-level aggregate.

    Sampling frame The sampling frame used for KIHBS 2015/16 is the fifth National Sample Survey and Evaluation Program (NASSEP V) master frame developed from the Population and Housing Census (KPHC) conducted in

  6. s

    Airbnb Average Prices By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Average Prices By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The current average price per night globally on Airbnb is $137 per night.

  7. s

    Airbnb Corporate Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Corporate Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Airbnb has a total of 6,132 employees that work for the company. 52.5% of Airbnb workers are male and 47.5% are female.

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Office for National Statistics (2023). Expenditure on mortgage and rent as a proportion of total expenditure and disposable income, UK [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/expenditure/datasets/expenditureonmortgageandrentasaproportionoftotalexpenditureanddisposableincomeuk
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Expenditure on mortgage and rent as a proportion of total expenditure and disposable income, UK

Explore at:
xlsxAvailable download formats
Dataset updated
Jul 14, 2023
Dataset provided by
Office for National Statisticshttp://www.ons.gov.uk/
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Area covered
United Kingdom
Description

Expenditure on rent by renters and mortgages by mortgage holders, by region and age from the Living Costs and Food Survey for the financial year ending 2022. Data is presented as a proportion of total expenditure and a proportion of disposable income.

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