Context

This dataset contains various details (price,area,floors etc) about houses in Nepal.

Content

This dataset includes following columns Title ------------------------------------->Tile of post Address ---------------------------------->Address of property City--------------------------------------->Last word in address (usually the district) Price-------------------------------------->Price in NRs. Bedroom --------------------------------->No of bedrooms Bathroom--------------------------------->No of bathrooms (0/ NA for land) Floors------------------------------------->No of floors (0/ NA for land) Parking----------------------------------->No of parking space Face-------------------------------------->Direction property is facing Year-------------------------------------->Year of construction (Not available for some houses) Views-------------------------------------->No of views (Determines how visually attractive the house is) Area-------------------------------------->Area occupied by property (Anna,ropani,kattha,sq feet) Road-------------------------------------->Road size and width as give by seller Road Width-------------------------------->Road width extracted from given string Road Type--------------------------------->Road type extracted from given string (Graveled,Blacktop etc) Build Area--------------------------------->Area occupied by house ((Anna,ropani,kattha,sq feet)

Posted ----------------------------------->Date property was posted relative to scraping date (views/posted ratio may be a good indicator for how visually appealing the house is)

Amenities ------------------------------->Amenities(Garden,Security etc). House with more amenities are typically premium ones

Note that converting area to a standard unit is the most challenging part as there are variety of units (anna,ropani,kattha etc) used.Also absence of floors means the property is a land.

Abstract

The devastating 7.6 Richter Scale earthquake that hit Nepal on April 25, 2015 noon and its aftershocks mostly affected 31 districts. The quake took a large number of human and animal lives causing massive damage to the buildings and infrastructure in 14 most affected districts namely Dolakha, Ramechhap, Okhaldhunga, Sindhupalchok, Kavrepalanchok, Sindhuli, Makawanpur, Dhading, Nuwakot, Rasuwa, Gorakha, Kathmandu, Lalitpur and Bhaktapur and inflicted minor damage in 17 less affected districts namely Solukhumbu, Shankhuwasabha, Bhojpur, Dhankuta, Khotang, Chitwan, Nawalparasi, Arghakhanchi, Palpa, Gulmi, Syangja, Parbat, Baglung, Myagdi, Kaski, Tanahun, and Lamjung disricts. The Government successfully carried out instant relief and rescue operation by coordinating national and international well-wishers' hand and cooperation. The government also completed Post Disaster Needs Assessment (PDNA) in about a month after the quake which assessed the level and extent of damage in the national level and helped the government to garner international support in the future reconstruction and rehabilitation efforts.

The PDNA sufficiently provided quick and summary assessment of the total damage but it did not have the detail information necessary to provide individual assistance to housing reconstruction. A detailed and comprehensive household survey to identify beneficiaries of the housing support was also a precondition of some of the development partners including the World Bank to ensure transparency while providing grants. Therefore, the government decided to conduct this earthquake affected housing survey in order to identify beneficiaries to receive the support.

Objectives of this survey are: Collection ot information about earthquake affected houses. Collection of socio-economic information about earthquake affected households. To prepare electronic database of earthquake affected house and household.

Census model was used in the in 11 districts and rural areas of Lalitpur district whereas verification model was used in the municipal areas of Kathmandu valley and 17 districts. In the census model, irrespective of the extent of damage, each and every private residential building was visited and assessed. But verification model was used in the municipal areas of Kathmandu, Lalitpur and Bhaktapur districts and 17 districts in which the households enlisted and certified by the local village and municipal authorities as earthquake affected households were only visited and assessed. The use of already existed list significantly reduced the amount of survey work and hence time. In the survey, private residential houses were visited and assessed by trained surveyors. Irrespective of the ownership of the land or the houses built on such land, the damage level of the houses were assessed as long as they were used or built for residential purposes.

Geographic coverage

Earthquake affected 31 districts: Complete Census: Okhaldhunga, Sindhuli, Ramechhap, Dolakha, Sindhupalchok, Kavrepalanchok, Rasuwa, Nuwakot, Makawanpur, Dhading, Gorkha

Verification Model (on the basis of PDNA basis): Solukhumbu, Sankhuwashabha, Bhojpur, Khotang, Dhankuta, Bhaktapur, Kathmandu, Lalitpur,Chitwan, Nawalparasi, Arghakhanchi, Gulmi, Palpa, Tanahu, Lamjung, Kaski, Parbat, Syangja, Baglung, Myagdi

Analysis unit

Units of Analysis: Individual, Households and Houses

Universe

For 11 districts: Census For 20 Districts: Verification model - damaged houses only.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Census of damaged houses: Complete enumeration.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire consists two parts: Part 1: Detailed Information on Damage Assessment of Residential Buildings 1.1. Introductory Details 1.2. House owner information 1.3. Building Information Part 2: Demographic and Socio-Economic Informations 2.1. Detail of household head 2.2. Details of household members

Cleaning operations

Computer Assisted Personal Interview (CAPI) was used for the first time in the history of data collection by CBS. The CAPI application to be used in the TABLET for data collection was prepared by a local software developer contracted by UNOPS. The application was prepared by using ODK (Open Data Kit) platform. Such data collected in the field was sent instantly to the central server of CBS housed at Government Integrated Data Center (GIDC) through the mobile network in the TABLET or WIFI.

The data processing and analysis of this survey took relatively much shorter time as compared to other paper and pen based surveys of CBS. The data management team at CBS had to daily carry out tabulation of the data uploaded at the server. The “FLAT” data that was downloaded from the server was first converted to “csv” format and it was imported to STATA and SPSS for further analysis. The final cleaned data set was transferred to Department of Civil Registration, MoFALD and appropriate access mechanisms were set up for NRA to use them timely.

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