This table shows the average purchase price that has been paid in the reporting period for existing own homes purchased by a private individual. The average purchase price of existing own homes may differ from the price index of existing own homes. The average purchase price is no indicator for price developments of owner-occupied residential property. The average purchase price reflects the average price of dwellings sold in a particular period. The fact that de dwellings sold differs from one period to another is not taken into account. The following instance explains which problems are entailed by the continually changing of the quality of the dwellings sold. Suppose in February of a particular year mainly big houses with extensive gardens beautifully situated alongside canals are sold, whereas in March many small terraced houses are sold. In that case the average purchase price in February will be higher than in March but this does not mean that house prices are increased. See note 3 for a link to the article 'Why the average purchase price is not an indicator'. Data available from: 1995 Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The average purchasing prices of existing owner-occupied sold homes can be calculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above. Changes as of 17 February 2025: Added average purchase prices of the municipalities for the year 2024. When will new figures be published? New figures are published approximately one to three months after the period under review.

This table shows the changes of the sale prices of existing own homes. Besides the price indices, also the numbers sold, the average purchase price of these dwellings and the total sum of the puchase prices of these dwellings are published. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and Value Immovable Property (in Dutch: WOZ) of all dwellings in The Netherlands. Indices can fluctuate, for example when the number of dwellings sold of a certain type of dwelling in a region is limited. In that case it is recommended to use the long term change of the index. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price is, however, not an indicator for price developments of existing own homes. For more information on this subject, see the article at chapter 3 "Why the average purchase price is not an indicator".

Data available from: January 1995

Status of the figures. The figures are definitive.

When are new figures published? This table is stopped as from 3-8-2013 and will be continued as House Price Index by region; existing own homes, 2010 = 100 and House Price Index by type of dwelling; existing own homes; 2010 = 100. See paragraph 3.

The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of dwellings are sold in a certain region. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

Data available from: 1st quarter 1995

Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

Changes as of 22 July 2025: Figures for reporting period 2nd quarter 2025 are added.

When will new figures be published? New figures are published about 22 days after the period under review.

The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of dwellings are sold in a certain region. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes. Data available from: 1st quarter 1995 Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above. Changes as of 23 October 2023: Figures of the 3rd quarter 2023 have been added. When will new figures be published? New figures are published about 22 days after the period under review.

This table shows the changes of the sale prices of existing own homes by COROP and 25 biggest municipalities (more then 100,000 inhabitants on 01-01-2005). Besides the price indices, also the numbers sold, the average purchase price of these dwellings and the total sum of the puchase prices of these dwellings are published. The House Price Index of Existing Own Homes is Based on a Complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and Value Immovable Property (in Dutch: WOZ) of all dwellings in the Netherlands. Indices can fluctuate, for example when the number of dwellings sold in a region is limited. In that case it is recommended to use the long term change of the index. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price is. however, not an indicator for price developments of existing own homes. For more information on this subject, see the article at chapter 3 "Why the average purchase price is not an indicator.

Data available from: January 1995 — December 2012.

Status of the figures: The figures are definitive.

When are new figures published? This table is stopped as from 3-8-2013 and will be continued as House Price Index by region; existing own homes, 2010 = 100. See paragraph 3.

The figures of existing own homes are related to the stock of existing own homes. Besides the price indices, figures are also published about the numbers sold, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices may fluctuate, for example if a small number of a certain type of dwellings are sold. In such cases we recommended using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes. Data available from: 1st quarter 1995 to 2017 Status of the figures: The figures are definite. Changes as of 20th April 2018: None, this table has been discontinued. This table is followed by the table House Price Index by type of dwelling; existing own homes 2015 = 100. See paragraph 3 When will new figures be published? Does not apply.

This table shows the price development of existing own homes. Aside from the price indices, Statistics Netherlands also publishes figures on the number of sold dwellings, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices can fluctuate, for example when a limited number of dwellings of a certain type is sold. In such cases we recommend using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes. Data available from: January 1995 till December 2023 Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above. From reporting month January 2024, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In February 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated Changes as of 11 March 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price indices 2020=100. See paragraph 3.

Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.

This table shows the price development of existing own homes. Aside from the price indices, Statistics Netherlands also publishes figures on the number of sold dwellings, the average purchase price, and the total sum of the purchase prices of the sold dwellings. The House Price Index of existing own homes is based on a complete registration of sales of dwellings by the Dutch Land Registry Office (Kadaster) and the (WOZ) value of all dwellings in the Netherlands. Indices can fluctuate, for example when a limited number of dwellings of a certain type is sold. In such cases we recommend using the long-term figures. The average purchase price of existing own homes may differ from the price index of existing own homes. The change in the average purchase price, however, is not an indicator for price developments of existing own homes.

Data available from: January 1995 till December 2023

Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The numbers of existing owner-occupied sold homes can be recalculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

From reporting month January 2024, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In February 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated

Changes as of 11 March 2024: This table has been discontinued. This table is followed by Existing own homes; purchase prices, price indices 2020=100. See paragraph 3.

This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA.

Before doing any market analysis on property sales, check the sales validation codes. Many property "sales" are not considered a valid representation of the true market value of the property. For example, when multiple lots are together on one deed with one price they are generally coded as invalid ("H") because the sale price for each parcel ID number indicates the total price paid for a group of parcels, not just for one parcel. See the Sales Validation Codes Dictionary for a complete explanation of valid and invalid sale codes.

Sales Transactions Disclaimer: Sales information is provided from the Allegheny County Department of Administrative Services, Real Estate Division. Content and validation codes are subject to change. Please review the Data Dictionary for details on included fields before each use. Property owners are not required by law to record a deed at the time of sale. Consequently the assessment system may not contain a complete sales history for every property and every sale. You may do a deed search at http://www.alleghenycounty.us/re/index.aspx directly for the most updated information. Note: Ordinance 3478-07 prohibits public access to search assessment records by owner name. It was signed by the Chief Executive in 2007.

This table shows the price developments of the stock of existing owner-occupied homes for COROP area. The number of transactions, the average sales price and the total value of the sales prices of the homes sold are also published. The price indices for existing owner-occupied homes are based on an integral registration of residential sales transactions by the Land Registry and WOZ values of all homes in the Netherlands. Index series can fluctuate, for example when the number of trades in a region is limited. It is then recommended to use the long-term developments of the price indices. The average sales price may show a different development than the price index for existing owner-occupied homes. The development of the average selling price is not an indicator for the price development of existing owner-occupied homes. The method used is equal to the method of the Price Index for Existing Owner-occupied Homes (PBK) with the exception of the weighting of dwelling types. At province level, the dwelling types are weighted by stock figures and then aggregated. At COROP-level, the dwelling types are not taken into account in the aggregation. The COROP areas Utrecht and Flevoland are equal to the eponymous provinces and are calculated according to the province procedure. For this reason, the confidence intervals for these areas have been omitted in the table. Data available from: 1st quarter 1995 to 4th quarter 2023 Status of the figures: The figures in this table are immediately final. Changes as of January 6th 2024: This table has been discontinued. This table is followed by Existing own homes; purchase price indices 2020=100 by region (COROP). See paragraph 3 From reporting period 2024 quarter 1, the base year of the House Price Index for Existing Dwellings (PBK) will be adjusted from 2015 to 2020. In April 2024, the first figures of this new series will be released. These figures will be available in a new StatLine table. The old series (base year = 2015) can still be consulted via StatLine, but will no longer be updated.

Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.

Update 10/31/2023: Sales are no longer filtered out of this data set based on deed type, sale price, or recency of sale for a given PIN with the same price. If users wish to recreate the former filtering schema they should set sale_filter_same_sale_within_365, sale_filter_less_than_10k, and sale_filter_deed_type to False.

Parcel sales for real property in Cook County, from 1999 to present. The Assessor's Office uses this data in its modeling to estimate the fair market value of unsold properties.

When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded.

Sale document numbers correspond to those of the Cook County Clerk, and can be used on the Clerk's website to find more information about each sale.

NOTE: These sales are filtered, but likely include non-arms-length transactions - sales less than $10,000 along with quit claims, executor deeds, beneficial interests are excluded. While the Data Department will upload what it has access to monthly, sales are reported on a lag, with many records not populating until months after their official recording date.

Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time.

For more information on the sourcing of attached data and the preparation of this dataset, see the Assessor's Standard Operating Procedures for Open Data on GitHub.

Read about the Assessor's 2025 Open Data Refresh.

Abstract copyright UK Data Service and data collection copyright owner.BackgroundThe British Social Attitudes (BSA) survey series began in 1983. The series is designed to produce annual measures of attitudinal movements to complement large-scale government surveys that deal largely with facts and behaviour patterns, and the data on party political attitudes produced by opinion polls. One of the BSA's main purposes is to allow the monitoring of patterns of continuity and change, and the examination of the relative rates at which attitudes, in respect of a range of social issues, change over time. Some questions are asked regularly, others less often. Funding for BSA comes from a number of sources (including government departments, the Economic and Social Research Council and other research foundations), but the final responsibility for the coverage and wording of the annual questionnaires rests with NatCen Social Research (formerly Social and Community Planning Research). The BSA has been conducted every year since 1983, except in 1988 and 1992 when core funding was devoted to the British Election Study (BES).Further information about the series and links to publications may be found on the NatCen Social Research British Social Attitudes webpage. Main Topics:Each year, the BSA interview questionnaire contains a number of 'core' questions, which are repeated in most years. In addition, a wide range of background and classificatory questions is included. The remainder of the questionnaire is devoted to a series of questions (modules) on a range of social, economic, political and moral issues - some are asked regularly, others less often. Cross-indexes of those questions asked more than once appear in the reports. Multi-stage stratified random sample See documentation for each BSA year for full details. 1983 1991 ABILITY ABORTION ACCESS TO COUNTRYSIDE ACCESS TO EDUCATION ACCOUNTABILITY ACID RAIN ADOLESCENTS ADOPTION ADVERTISING ADVICE AGE AGRICULTURAL LAND AGRICULTURAL PRODUC... AGRICULTURE AID AIDS DISEASE AIR POLLUTION AIR TRAFFIC NOISE ALCOHOL USE ALLIANCE LIBERAL SD... ANIMAL PRODUCTS ANIMAL TESTING APPLICATION FOR EMP... ARMED FORCES ARTIFICIAL INSEMINA... ARTS ASIANS ASPIRATION ASSAULT ASSOCIATIONS ASTROLOGY ATTITUDE CHANGE ATTITUDES AUTOMATION BANKS BLACK PEOPLE BLOOD TRANSFUSIONS BONUS PAYMENTS BRITISH POLITICAL P... BROADCASTING BROKEN FAMILIES BUILDING MAINTENANCE BURGLARY BUSINESS ECONOMICS BUSINESS MANAGEMENT BUSINESSES CAPITALISM CARE OF DEPENDANTS CARE OF THE DISABLED CARE OF THE ELDERLY CAREER DEVELOPMENT CATHOLICISM CENSORSHIP CENTRAL GOVERNMENT CEREAL PRODUCTS CHANGING SOCIETY CHARITABLE ORGANIZA... CHEMICALS CHILD BENEFITS CHILD CARE CHILD DAY CARE CHILD MINDERS CHILD PROTECTION CHILDHOOD CHILDREN CHILDREN S RIGHTS CIVIL AND POLITICAL... CIVIL DISTURBANCES CIVIL SERVANTS CIVIL SERVICE CLASS CONSCIOUSNESS CLASS DIFFERENTIATION CLEANING CLEANING AGENTS CLUBS COASTS COHABITATION COMMISSIONS OF INQUIRY COMMUNICATION CONTROL COMMUNITY CHARGE COMMUNITY IDENTIFIC... COMPANY CARS COMPREHENSIVE SCHOOLS COMPUTERS CONDITIONS OF EMPLO... CONFECTIONERY CONSERVATION OF NATURE CONSERVATIVE PARTY ... CONSUMER PROTECTION CONSUMPTION TAX CONTRACEPTIVE DEVICES COOKING CORRUPTION COST OF LIVING COUNCILLORS COUNTRYSIDE COUNTRYSIDE CONSERV... COURT CASES CREDIT CRIME AND SECURITY CRIME PREVENTION CRIME VICTIMS CRIMINAL DAMAGE CRIMINAL INVESTIGATION CRIMINALS CULTURAL EXPENDITURE CULTURAL FINANCE CULTURAL IDENTITY CULTURAL INTEGRATION CULTURAL PLURALISM CURRENCY DEVALUATION CURRICULUM DAIRY PRODUCTS DANGEROUS MATERIALS DAY NURSERIES DEATH PENALTY DECENTRALIZED GOVER... DECISION MAKING DEFENCE DELIVERY PREGNANCY DEMOCRACY DENTAL TREATMENT DENTISTS DEPRESSED AREAS DETENTION DISABLED PERSONS DISADVANTAGED GROUPS DISARMAMENT DISCIPLINE DISCRIMINATION DISTANCE MEASUREMENT DIVORCE DOMESTIC RESPONSIBI... DOMESTIC TRADE DRIVING DRUG ABUSE EARLY RETIREMENT ECONOMIC ACTIVITY ECONOMIC AID ECONOMIC CONDITIONS ECONOMIC POLICY ECONOMIC POWER EDIBLE FATS EDUCATION EDUCATIONAL ADMINIS... EDUCATIONAL BACKGROUND EDUCATIONAL EXPENDI... EDUCATIONAL FACILITIES EDUCATIONAL FINANCE EDUCATIONAL GRANTS EDUCATIONAL INFORMA... EDUCATIONAL INSTITU... EDUCATIONAL INTEGRA... EDUCATIONAL OPPORTU... EDUCATIONAL POLICY EDUCATIONAL RESOURCES EDUCATIONAL STANDARDS EDUCATIONAL SYSTEMS EDUCATIONAL TESTS EGGS FOOD ELDERLY ELECTIONS ELECTORAL SYSTEMS EMIGRATION EMPLOYEES EMPLOYER SPONSORED ... EMPLOYERS EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT OPPORTUN... EMPLOYMENT POLICY EMPLOYMENT PROGRAMMES EMPLOYMENT SERVICES ENERGY EFFICIENCY ENERGY SECURITY ENVIRONMENT ENVIRONMENT POLICY ENVIRONMENTAL CONSE... ENVIRONMENTAL DEGRA... ENVIRONMENTAL MOVEM... EPIDEMIOLOGY EQUAL EDUCATION EQUAL OPPORTUNITY EQUAL PAY EQUALITY BEFORE THE... EQUALITY BETWEEN TH... EQUESTRIAN SPORTS ETHICS ETHNIC GROUPS EUROPEAN ECONOMIC C... EUROPEAN UNION EUTHANASIA EXAMINATIONS EXERCISE PHYSICAL A... EXPECTATION EXPENDITURE EXPORTS AND IMPORTS EXPOSURE TO NOISE FAITH SCHOOLS FAMILIES FAMILY COHESION FAMILY ENVIRONMENT FAMILY LIFE FAMILY MEMBERS FAMILY ROLES FAMILY SIZE FARMERS FARMING SYSTEMS FATHER S OCCUPATION FATHERS FEAR OF CRIME FERTILIZERS FIELDS OF STUDY FINANCE FINANCIAL EXPECTATIONS FINANCIAL INSTITUTIONS FINANCIAL MANAGEMENT FINANCIAL MARKETS FINANCIAL RESOURCES FINANCIAL SUPPORT FINANCING FINES FISH AS FOOD FISHING SPORT FOOD FOOD AND NUTRITION FOOD PRODUCTION FOOTPATHS FORECASTING FOREIGN RELATIONS FOREST MANAGEMENT FORTUNE TELLING FRAUD FREE WILL FREEDOM OF EXPRESSION FREEDOM OF SPEECH FREEDOM OF THE PRESS FRIENDS FRINGE BENEFITS FRUIT FULL TIME EMPLOYMENT FUMES FUND RAISING FUTURE SOCIETY GENDER GENERAL PRACTITIONERS GIFTS GOVERNMENT GOVERNMENT POLICY GRANTS GREEN BELT AREAS GREEN PARTY UNITED ... GUNS HEALTH HEALTH CONSULTATIONS HEALTH FOODS HEALTH PROFESSIONALS HEALTH RELATED BIOT... HEALTH SERVICES HEALTH VISITORS HEART DISEASES HEDGES HIGHER EDUCATION HIKING HOME BASED WORK HOME BUYING HOME OWNERSHIP HOMICIDE HOMOSEXUALITY HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOSPITAL VISITING HOSPITALIZATION HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLDS HOUSES HOUSEWORK HOUSING HOUSING ECONOMICS HOUSING FINANCE HOUSING TENURE HUMAN RIGHTS HUMAN SETTLEMENT HUNTING IDENTITY IMMIGRANTS IMMIGRATION IMMORTALITY IMMUNIZATION IMPORT CONTROLS IN SERVICE TRAINING IN VITRO FERTILIZATION INCOME INCOME DISTRIBUTION INCOME TAX INDUSTRIAL ECONOMICS INDUSTRIAL MANAGEMENT INDUSTRIAL POLICY INDUSTRIAL POLLUTION INDUSTRIES INFIDELITY INFLATION INFORMAL ECONOMY INFORMATION INNOVATION INTERCEPTION OF COM... INTEREST FINANCE INTERNAL POLITICAL ... INTERNATIONAL RELAT... INTERNATIONAL TRADE INTERNATIONAL TRAVEL INTERPERSONAL COMMU... INTERPERSONAL INFLU... INTERPERSONAL RELAT... INVESTMENT JOB CHANGING JOB DESCRIPTION JOB HUNTING JOB LOSSES JOB REQUIREMENTS JOB SATISFACTION JOB SHARING JOB VACANCIES JOURNALISTS JUDGMENTS LAW JUVENILE DELINQUENCY LABOUR DISPUTES LABOUR MIGRATION LABOUR MOBILITY LABOUR PARTY GREAT ... LABOUR RELATIONS LAND AMELIORATION LAND USE LANDLORDS LAW LAW AND JUSTICE LAW ENFORCEMENT LAWFUL OPPOSITION LEGAL SYSTEMS LEGISLATION LEGISLATURE LEISURE TIME LEISURE TIME ACTIVI... LIBERAL DEMOCRATS G... LIBERAL PARTY GREAT... LOANS LOCAL FINANCE LOCAL GOVERNMENT LOCAL GOVERNMENT SE... MANAGEMENT MANUFACTURING INDUS... MARITAL STATUS MARRIAGE MARRIAGE DISSOLUTION MARRIED WOMEN WORKERS MASS MEDIA MATERNITY LEAVE MEAT MEDICAL CARE MEDICAL EQUIPMENT A... MEDICAL INSURANCE MEMBERS OF PARLIAMENT MEMBERSHIP MEN MILITARY EXPENDITURE MILK MIXED MARRIAGES MONARCHY MORAL BEHAVIOUR MORAL CONCEPTS MORAL VALUES MORTGAGES MOTHER TONGUE MOTHERS MOTOR VEHICLES NATIONAL CULTURES NATIONAL ECONOMY NATIONAL IDENTITY NATIONALITY NATIONALIZATION NATO NEIGHBOURHOODS NEPOTISM NEWS ITEMS NEWSPAPER PRESS NEWSPAPER READERSHIP NUCLEAR BASES NUCLEAR DISARMAMENT... NUCLEAR POWER STATIONS NUCLEAR REACTOR SAFETY NUCLEAR WARFARE NUCLEAR WEAPONS NURSES NURSING CARE NUTRIENTS OBLIGATIONS OCCUPATIONAL PENSIONS OCCUPATIONAL QUALIF... OCCUPATIONAL SAFETY OCCUPATIONAL STATUS OCCUPATIONAL TRAINING OCCUPATIONS OFFENCES OFFICE EQUIPMENT OMBUDSMEN ONE PARENT FAMILIES OUTDOOR PURSUITS OVERTIME PARENT CHILD RELATI... PARENT PARTICIPATION PARENT RESPONSIBILITY PARENT SCHOOL RELAT... PARENT TEACHER RELA... PARENTAL DEPRIVATION PARENTAL ROLE PARENTS PART TIME EMPLOYMENT PARTICIPATION PARTNERSHIPS BUSINESS PATERNITY LEAVE PATIENTS PEACE PERFORMANCE PERSONAL EFFICACY PERSONAL FASHION GOODS PERSONAL IDENTIFICA... PESTICIDES PETROL PETROLEUM PHYSICIANS PICKETING PICNICKING PLACE OF RESIDENCE PLAID CYMRU PLANNED ECONOMY PLANT RESOURCES POLICE COMMUNITY RE... POLICE CORRUPTION POLICE SERVICES POLICING POLITICAL ACTION POLITICAL ALLEGIANCE POLITICAL ATTITUDES POLITICAL AWARENESS POLITICAL BEHAVIOUR POLITICAL CHANGE POLITICAL COALITIONS POLITICAL CORRUPTION POLITICAL EXTREMISM POLITICAL IDEOLOGIES POLITICAL INFLUENCE POLITICAL INTEREST POLITICAL OPPOSITION POLITICAL PARTICIPA... POLITICAL POWER POLITICAL REPRESENT... POLITICAL UNIFICATION POLITICIANS POLITICS POLLUTANTS POLLUTION POLLUTION CONTROL POOR PERSONS POPULATION INCREASE PORNOGRAPHY POULTRY POVERTY PRAYER PRE PRIMARY EDUCATION PRE PRIMARY SCHOOLS PREDESTINATION PREJUDICE PREMARITAL SEX PRESCHOOL CHILDREN PRESS PRICE CONTROL PRICE POLICY PRICES PRIMARY EDUCATION PRIMARY SCHOOLS PRISON SENTENCES PRISON SYSTEM PRISONERS PRIVATE EDUCATION PRIVATE SCHOOLS PRIVATE SECTOR PRIVATIZATION PRODUCT DEVELOPMENT PRODUCTIVITY PROFESSIONAL CONSUL... PROFESSIONAL OCCUPA... PROFIT SHARING PROFITS PROMOTION JOB PROTECTIONISM PROTEST MOVEMENTS PROTESTANTISM PUBLIC ENTERPRISES PUBLIC EXPENDITURE PUBLIC INFORMATION PUBLIC RELATIONS PUBLIC SECTOR PUBLIC SERVICES PUBLIC TRANSPORT PUBLISHING INDUSTRY PUNISHMENT PURCHASING QUALIFICATIONS QUALITY QUALITY OF EDUCATION QUALITY OF LIFE RACE RELATIONS RACIAL DISCRIMINATION RACIAL PREJUDICE RACISM RADIOACTIVE WASTES RATES REBATES RECREATIONAL FACILI... RECRUITMENT REDUNDANCY REFUGEES REFUSE REGIONAL GOVERNMENT RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RELIGIOUS

Property Price: YTD Avg: Shanghai data was reported at 39,575.041 RMB/sq m in Mar 2025. This records an increase from the previous number of 38,438.579 RMB/sq m for Feb 2025. Property Price: YTD Avg: Shanghai data is updated monthly, averaging 16,245.712 RMB/sq m from Jan 2003 (Median) to Mar 2025, with 267 observations. The data reached an all-time high of 49,301.406 RMB/sq m in Feb 2021 and a record low of 3,659.000 RMB/sq m in Feb 2003. Property Price: YTD Avg: Shanghai data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Price – Table CN.PD: NBS: Property Price: Monthly.

Abstract

The NLSS 1995/96 is basically limited to the living standards of households.

The basic objectives of this survey was to provide information required for monitoring the progress in improving national living standards and to evaluate the impact of various government policies and program on living condition of the population. This survey captured comprehensive set of data on different aspects of households welfare like consumption, income, housing, labour markets, education, health etc.

Geographic coverage

National coverage The 4 strata of the survey: - Mountains - Hills (Urban) - Hills (Rural) - Terai

Analysis unit

• Household
• Individual
• Community

Universe

The survey covered all modified de jure household members (usual residents).

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design

Sample Frame: A complete list of all wards in the country, with a measure of size, was developed in order to select from it with Probability Proportional to Size (PPS) the sample of wards to be visited. The 1991 Population Census of Nepal was the best starting point for building such a sample frame. The Central Bureau of Statistics (CBS) constructed a data set with basic information from the census at the ward level. This data set was used as a sample frame to develop the NLSS sample.

Sample Design: The sample size for the NLSS was set at 3,388 households. This sample was divided into four strata based on the geographic and ecological regions of the country: (i) mountains, (ii) urban Hills, (iii) rural Hills, and (iv) Terai.

The sample size was designed to provide enough observations within each ecological stratum to ensure adequate statistical accuracy, as well as enough variation in key variables for policy analysis within each stratum, while respecting resource constraints and the need to balance sampling and non-sampling errors.

A two-stage stratified sampling procedure was used to select the sample for the NLSS. The primary sampling unit (PSU) is the ward, the smallest administrative unit in the 1991 Population Census. In order to increase the variability of the sample, it was decided that a small number of households - twelve - would be interviewed in each ward. Thus, a total of275 wards was obtained.

In the first stage of the sampling, wards were selected with probability proportional to size (PPS) from each of the four ecological strata, using the number of household in the ward as the measure of size. In order to give the sample an implicit stratification respecting the division of the country into Development Regions, the sample frame was sorted by ascending order of district codes, and these were numbered from East to West. The sample frame considered all the 75 districts in the country, and indeed 73 of them were represented in the sample. In the second stage of the sampling, a fixed number of households were chosen with equal probabilities from each selected PSU.

The two-stage procedure just described has several advantages. It simplified the analysis by providing a self-weighted sample. It also reduced the travel time and cost, as 12 or 16 households are interviewed in each ward. In addition, as the number of households to be interviewed in each ward was known in advance, the procedure made it possible to plan an even workload across different survey teams.

Mode of data collection

Face-to-face [f2f]

Research instrument

A preliminary draft of the questionnaire was first prepared with several discussions held between the core staff and the consultant to the project. Several documents both received from the world bank as well as from countries that had already conducted such surveys in the past were referred during this process. Subsequently the questionnaire was translated into NepalI.

After a suitable draft design of the questionnaire, a pre-test was conducted in five different places of the country. The places selected for the pre-test were Biratnagar, Rasuwa, Palpa, Nepalganj and Kathmandu Valley. The entire teams created for the pre-test were also represented by either a consultant or an expert from the bank. Feedback received from the field was utilized for necessary improvements in finalizing the seventy page questionnaire.

The content of each questionnaire is as follows:

HOUSEHOLD QUESTIONNAIRE

Section 1. HOUSEHOLD INFORMATION This section served two main purposes: (i) identify every person who is a member of the household, and (ii) provide basic demographic data such as age, sex, and marital status of everyone presently living in the household. In addition, information collected also included data on all economic activities undertaken by household members and on unemployment.

Section 2. HOUSING This section collected information on the type of dwelling occupied by the household, as well as on the household's expenditures on housing and amenities (rent, expenditure on water, garbage collection, electricity, etc.).

Section 3. ACCESS TO FACILITIES This section collected information on the distance from the household's residence to various public facilities and services.

Section 4. MIGRATION This section collected information from the household head on permanent migration for reasons of work or land availability.

Section 5. FOOD EXPENSES AND HOME PRODUCTION This section collected information on all food expenditures of the household, as well as on consumption of food items that the household produced.

Section 6. NON-FOOD EXPENDITURES AND INVENTORY OF DURABLE GOODS This section collected information on expenditure on non-food items (clothing, fuels, items for the house, etc.), as well as on the durable goods owned by the household.

Section 7. EDUCATION This section collected information on literacy for all household members aged 5 years and above, on the level of education for those members who have attended school in the past, and on levelof education and expenditures on schooling for those currently attending an educational institution.

Section 8. HEALTH This section collected information on illnesses, use of medical facilities, expenditure on health care, children's immunization, and diarrhea.

Section 9. ANTHROPOMETRICS This section collected weight and height measurements for all children 3 years or under.

Section 10. MARRIAGE AND MATERNITY HISTORY This section collected information on maternity history, pre/post-natal care, and knowledge/use of family planning methods.

Section 11. WAGE EMPLOYMENT This section collected information on wage employment in agriculture and in non-agricultural activities, as well as on income earned through wage labor.

Section 12. FARMING AND LIVESTOCK This section collected information on all agricultural activities -- land owned or operated, crops grown, use of crops, income from the sale of crops, ownership of livestock, and income from the sale of livestock.

Section 13. NON-FARM ENTERPRISES/ACTIVITIES This section collected information on all non-agricultural enterprises and activities -- type of activity, revenue earned, expenditures, etc.

Section 14. CREDIT AND SAVINGS This section collected information on loans made by the household to others, or loans taken from others by household members, as well as on land, property, or other fixed assets owned by the household.

Section 15. REMITTANCES AND TRANSFERS This section collected information on remittances sent by members of the household to others and on transfers received by members of the household from others.

Section 16. OTHER ASSETS AND INCOME This section collected information on income from all other sources not covered elsewhere in the questionnaire.

Section 17. ADEQUACY OF CONSUMPTION This section collected information on whether the household perceives its level of consumption to be adequate or not.

RURAL COMMUNITY QUESTIONNAIRE

Section 1. POPULATION CHARACTERISTICS AND INFRASTRUCTURES This section collected information on the characteristics of the community, availability of electricity and its services and water supply and sewerage.

Section 2. ACCESS TO FACILITIES Data on services and amenities, education status and health facilities was collected.

Section 3. AGRICULTURE AND FORESTRY Information on the land situation, irrigation systems, crop cycles, wages paid to hired labor, rental rates for cattle and machinery and forestry use were asked in this section.

Section 4. MIGRATION This section collected information on the main migratory movements in and out.

Section 5. DEVELOPMENT PROGRAMS, USER GROUPS, etc. In this section, information on development programs, existence user groups, and the quality of life in the community was collected.

Section 6. RURAL PRIMARY SCHOOL This section collected information on enrollment, infrastructure, and supplies.

Section 7. RURAL HEALTH FACILITY This section collected information on health facilities, equipment and services available, and health personnel in the community.

Section 8. MARKETS AND PRICES This section collected information on local shops, Haat Bazaar, agricultural inputs, sale of crops and the conversion of local units into standard units.

URBAN COMMUNITY QUESTIONNAIRE

Section 1. POPULATION CHARACTERISTICS AND INFRASTRUCTURE Information was collected on the characteristics of the community, availability of electricity, water supply and sewerage system in the ward.

Section 2. ACCESS TO FACILITIES This section collected information on the distance from the community to the various places and public facilities and services.

Section 3. MARKETS AND PRICES This section collected information on the availability and prices of different goods.

Section 4. QUALITY OF LIFE Here the notion of the quality of life in the community was

August 2025