4 datasets found
  1. Multipurpose Production Survey, Urban 1990 - Nepal

    • dev.ihsn.org
    • catalog.ihsn.org
    Updated Apr 25, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Central Bureau of Statistics (2019). Multipurpose Production Survey, Urban 1990 - Nepal [Dataset]. https://dev.ihsn.org/nada/catalog/study/NPL_1990_MPS_v01_M
    Explore at:
    Dataset updated
    Apr 25, 2019
    Dataset authored and provided by
    Central Bureau of Statisticshttp://cbs.gov.np/
    Time period covered
    1990
    Area covered
    Nepal
    Description

    Abstract

    The survey is part of the project work on "Strengthening Central Bureau of Statistics in Socio-economic Statistics and National Accounts," supported by UNDP.

    In spite of the efforts made by varioius agencies in producing statistics, a number of key areas are still faced with critical data gaps. While activities of the Central Bureau of Statistics (CBS) remained tied up for a long time in conducting periodic censuses and their analyses, the demand for current economic statistics for development planning and policy formulation are being felt to be ever increasing. it was realised that the existing critical data gaps, could be fulfilled only by conducting sample surveys in different areas on a regular basis.

    The Multipurpose Production Survey is indeed a step forward in thsi direction initiated by the CBS to reduc the critical data gaps gradually. The undertaken survey had envisaged to generate statistics to augment the task of improving National Accounts estimates and serve other users in various fields.

    The Multipurpose Production Survey (Urban) includes altogether 1500 sub wards (to be considered as an enumeration block) from the entire 33 towns. Sub-wards consisted of 150-200 dwellings. On the basis of level of urbanization of towns, towns were categorized in three levels - Urban, Semi Urban and Partly Urban. Reference period was the average of the twenty months stretching from April 1989 to November 1990.As shown by the survey result, percentage of households engaged in these type of economic activities is higher (26.3%) in the towns under the category "Urban" and are lower in other categories with 21.9% in the "Semi-urban" and 20.7% in the "Partly urban".

    Limitations of the survey

    As any statistical investigation, the MPS (Urban) has its own limitations.

    Despite the importance of mapping operation carried out for this survey it should be realised that the operation was more experimental and accurate results can not be expected from a firsthand attempt like this. Besides the survey was seriously affected by the poor state of maps and unavialiability of auxiliary informations required. Moreover, there was no clarity of ward boundaries even in among local authorities and residents, as the boundaries were delineated not strictly on a scientific way and were frequently changed for political reas ons. pnder the circumstances, initiation by CBS to prepare subsequent maps for survey purpose faced serious problems . Possibility of omission of some households especially in the large cities cannot be rejected.

    The aspect of reference period regarding the necessity of sub-sampling of time over a year for data collection was mentioned in the Report on the MPS (Rural). Situation could not be improved in the MPS (Urban) too. In order to avoid the possibility of seasonal effect, intensity characteristics like number of months worked during the year, number of working days during the month etc. were used while estimating the annual aggregates.

    Geographic coverage

    National urban areas only

    Analysis unit

    Households.

    Universe

    All households in Urban areas of all 33 towns of Nepal.

    Though this is basically a household survey in nature, some parts of the investigation necessarily had to be done through establishments and hence an overlap between the two. This was true especially in the case of manufacturing and retail trade.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The complexity in the sampling design of the MPS (Urban) was further simplified by the formation of smaller enumeration blocks from the large municipality wards. A single stage stratified sampling was adopted by maintaining the sample fraction of 1/10 of urban enumeration blocks for all strata. Sub-division of wards was done by distributing the number of dwellings in each ward into blocks consisting of 150-200 dwellings.

    For an appropriate area sampling it is necessary that enumeration area be more or less equal in size in population and the characteristics to be investigated be homogeneous to the extent possible. However, existing size of municipality wards are not fit to be considered as an enumeration unit due to various reasons. First of all, high variation in the size of population among the wards is noteworthy. Secondly, most of the urban wards, belonging to big towns like Kathmandu, Biratnagar, Birgunj, etc. are too large and are not manageable even for field operation. So it was decided to form the sub-wards with 15-200 dwellings through an intensive field work in order to prepare a sampling frame for the MPS (Urban). Despite several constraints of resources and lack of experience in such activity, altogether 1500 sub wards (to be considered as an enumeration block) from the entire 33 towns were formed and subsequently maps for these blocks were prepared.

    Different level of urbanization of towns was another aspect to be considered for sampling design. In Nepal, some of the towns seem nothing more than an administrative center or major district settlement and are either partly urbanized or yet to be urbanized. The others possess urban characteristics to a large extent but still include some rural type of settlements. Only Kathmandu and Lalitpur can be considered as urbanized municipalities. Hence, the towns were divided into three groups for stratification purposes.

    1. Urban - Kathmandu, Lalitpur (2)
    2. Semi Urban - (towns with more than 40,000 population according to 1981 census) i.e. Biratnagar, Birgunj, Bhaktapur, Dharan, Pokhara and Mahendranagar (4)
    3. Partly urban - Ilam, Bhadrapur, Damak, Dhankuta, Inarwa, Rajbiraj, Malangwa, Kalaiya, Lahan, Janakpur, Jaleswore, Hetauda, Bharatpur, Banepa, Dhulikel, Bidur, Tansen, Bhairawa, Butwal, Taulihawa, Trivhuvan Nagar, Nepalgunj, Birendra Nagar, Dhangadi, Dipayal (25)

    After formation of sub-wards and subsequent mapping operation it became possible to avoid complicated sampling procedure. A single stage sampling of enumeration areas was adopted for all three strata. The details of the sampling scheme are found in the Report.

    Selection of sub-wards was made according to the method for linear systematic sampling where the towns were arranged in the order of economically active population.

    The stratification adopted here has been vindicated by results of the survey also. Percentage of households engaged in these four sectors of economic activities is higher (26.3%) in the towns under the category "Urban" and are lower in other categories with 21.9% in the "Semi-urban" and 20.7% in the "Partly urban" as shown by the survey results.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The Multipurpose Production Survey (Urban) employed a different questionnaire for each of the three sectors covered:

    Questionnaire No. 11 - Small-scale Manufacturing and Cottage Industry Questionnaire No. 12 - Retail Trade Questionnaire No. 13 - Non-mechanised Transport

    For a copy of the Questionnaires in Nepali please refer to the attached file of the Report: Questionnaire No. 10 - Listing Sheet Questionnaire No. 11 - Small-scale Manufacturing and Cottage Industry Questionnaire No. 12 - Retail Trade Questionnaire No. 13 - Non-mechanised Transport

    Cleaning operations

    All the questionnaires were edited thoroughly prior to processing in the computer. Number of rejections, i.e. those that did not fall within the scope was negligible. Efforts were made to make the classification and tabulation as much comparable to those as presented in the report of the MPS (Rural).

  2. i

    Land cover of Nepal

    • rds.icimod.org
    zip
    Updated Apr 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FRTC (2025). Land cover of Nepal [Dataset]. https://rds.icimod.org/Home/DataDetail?metadataId=1972729
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    FRTC
    License

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

    Description

    The annual land cover data of Nepal (2000-2022) have been created through the National Land Cover Monitoring System (NLCMS) for Nepal. The system uses freely available remote-sensing data (Landsat) and a cloud-based machine learning architecture in the Google Earth Engine (GEE) platform to generate land cover maps on an annual basis using a harmonized and consistent classification system.

    The NLCMS is developed by the Forest Research and Training Centre (FRTC), Ministry of Forests and Environment, Government of Nepal with support from the International Centre for Integrated Mountain Development (ICIMOD) through SERVIR Hindu Kush Himalaya (SERVIR-HKH), a joint initiative in partnership with the National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID). Collaborators include SERVIR–Mekong at the Asian Disaster Preparedness Center (ADPC), SilvaCarbon, Global Land Analysis and Discovery (GLAD) group at the University of Maryland, and the US Forest Service.

    The annual land cover data of Nepal for 2000-2019 was first published in 2022 while the data for 2020-2022 was released in 2024.

  3. A

    Administrative Boundaries of Nepal

    • data.amerigeoss.org
    • data.wu.ac.at
    shp
    Updated Nov 22, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UN Humanitarian Data Exchange (2023). Administrative Boundaries of Nepal [Dataset]. https://data.amerigeoss.org/dataset/administrative-boundaries-of-nepal
    Explore at:
    shp(3804318), shp(10353150)Available download formats
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    UN Humanitarian Data Exchange
    Area covered
    Nepal
    Description

    This data sets contains administrative boundaries of federal Nepal

  4. i

    Land cover of HKH region

    • rds.icimod.org
    zip
    Updated Nov 3, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ICIMOD (2021). Land cover of HKH region [Dataset]. https://rds.icimod.org/Home/DataDetail?metadataId=1972511&searchlist=True
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 3, 2021
    Dataset authored and provided by
    ICIMOD
    License

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

    Description

    Land cover change is a significant contributor to environmental change. The degradation of forests and conversion of natural areas, forests, and farmlands to other land use impact ecosystem services and biodiversity significantly. Using multiple methodologies and input data sources, national agencies in different countries of the Hindu Kush Himalayan region have conducted land cover mapping at various times. Due to the differences in classification schema, methodologies, and input data sources used, currently available land cover data is not suitable for analysis of land cover changes over time. ICIMOD collaborated with SERVIR-Mekong at Asian Disaster Preparedness Center (ADPC), Afghanistan’s Ministry of Agriculture, Irrigation and Livestock, Bangladesh’s Forest Department, Nepal’s Forest Research and Training Centre, Myanmar’s Forest Department, SilvaCarbon, the Global Land Analysis and Discovery (GLAD) laboratory at the University of Maryland, and the United States Forest Services to develop the Regional Land Cover Monitoring System (RLCMS) for the HKH region. The system uses state-of-the-art remote sensing science and technology on the Google Earth Engine, and a standard set of input data sources to regularly generate high-quality land cover data at the regional level for the HKH, and at national levels for Afghanistan, Bangladesh, Myanmar, and Nepal. In developing the RLCMS, ICIMOD focused on collaboration and co-development with partner organizations to define different land cover typologies/classes, collect reference data samples, and validate results. Land cover maps for the HKH region spanning 2000–2022 have been produced under its SERVIR–HKH Initiative.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Central Bureau of Statistics (2019). Multipurpose Production Survey, Urban 1990 - Nepal [Dataset]. https://dev.ihsn.org/nada/catalog/study/NPL_1990_MPS_v01_M
Organization logo

Multipurpose Production Survey, Urban 1990 - Nepal

Explore at:
Dataset updated
Apr 25, 2019
Dataset authored and provided by
Central Bureau of Statisticshttp://cbs.gov.np/
Time period covered
1990
Area covered
Nepal
Description

Abstract

The survey is part of the project work on "Strengthening Central Bureau of Statistics in Socio-economic Statistics and National Accounts," supported by UNDP.

In spite of the efforts made by varioius agencies in producing statistics, a number of key areas are still faced with critical data gaps. While activities of the Central Bureau of Statistics (CBS) remained tied up for a long time in conducting periodic censuses and their analyses, the demand for current economic statistics for development planning and policy formulation are being felt to be ever increasing. it was realised that the existing critical data gaps, could be fulfilled only by conducting sample surveys in different areas on a regular basis.

The Multipurpose Production Survey is indeed a step forward in thsi direction initiated by the CBS to reduc the critical data gaps gradually. The undertaken survey had envisaged to generate statistics to augment the task of improving National Accounts estimates and serve other users in various fields.

The Multipurpose Production Survey (Urban) includes altogether 1500 sub wards (to be considered as an enumeration block) from the entire 33 towns. Sub-wards consisted of 150-200 dwellings. On the basis of level of urbanization of towns, towns were categorized in three levels - Urban, Semi Urban and Partly Urban. Reference period was the average of the twenty months stretching from April 1989 to November 1990.As shown by the survey result, percentage of households engaged in these type of economic activities is higher (26.3%) in the towns under the category "Urban" and are lower in other categories with 21.9% in the "Semi-urban" and 20.7% in the "Partly urban".

Limitations of the survey

As any statistical investigation, the MPS (Urban) has its own limitations.

Despite the importance of mapping operation carried out for this survey it should be realised that the operation was more experimental and accurate results can not be expected from a firsthand attempt like this. Besides the survey was seriously affected by the poor state of maps and unavialiability of auxiliary informations required. Moreover, there was no clarity of ward boundaries even in among local authorities and residents, as the boundaries were delineated not strictly on a scientific way and were frequently changed for political reas ons. pnder the circumstances, initiation by CBS to prepare subsequent maps for survey purpose faced serious problems . Possibility of omission of some households especially in the large cities cannot be rejected.

The aspect of reference period regarding the necessity of sub-sampling of time over a year for data collection was mentioned in the Report on the MPS (Rural). Situation could not be improved in the MPS (Urban) too. In order to avoid the possibility of seasonal effect, intensity characteristics like number of months worked during the year, number of working days during the month etc. were used while estimating the annual aggregates.

Geographic coverage

National urban areas only

Analysis unit

Households.

Universe

All households in Urban areas of all 33 towns of Nepal.

Though this is basically a household survey in nature, some parts of the investigation necessarily had to be done through establishments and hence an overlap between the two. This was true especially in the case of manufacturing and retail trade.

Kind of data

Sample survey data [ssd]

Sampling procedure

The complexity in the sampling design of the MPS (Urban) was further simplified by the formation of smaller enumeration blocks from the large municipality wards. A single stage stratified sampling was adopted by maintaining the sample fraction of 1/10 of urban enumeration blocks for all strata. Sub-division of wards was done by distributing the number of dwellings in each ward into blocks consisting of 150-200 dwellings.

For an appropriate area sampling it is necessary that enumeration area be more or less equal in size in population and the characteristics to be investigated be homogeneous to the extent possible. However, existing size of municipality wards are not fit to be considered as an enumeration unit due to various reasons. First of all, high variation in the size of population among the wards is noteworthy. Secondly, most of the urban wards, belonging to big towns like Kathmandu, Biratnagar, Birgunj, etc. are too large and are not manageable even for field operation. So it was decided to form the sub-wards with 15-200 dwellings through an intensive field work in order to prepare a sampling frame for the MPS (Urban). Despite several constraints of resources and lack of experience in such activity, altogether 1500 sub wards (to be considered as an enumeration block) from the entire 33 towns were formed and subsequently maps for these blocks were prepared.

Different level of urbanization of towns was another aspect to be considered for sampling design. In Nepal, some of the towns seem nothing more than an administrative center or major district settlement and are either partly urbanized or yet to be urbanized. The others possess urban characteristics to a large extent but still include some rural type of settlements. Only Kathmandu and Lalitpur can be considered as urbanized municipalities. Hence, the towns were divided into three groups for stratification purposes.

  1. Urban - Kathmandu, Lalitpur (2)
  2. Semi Urban - (towns with more than 40,000 population according to 1981 census) i.e. Biratnagar, Birgunj, Bhaktapur, Dharan, Pokhara and Mahendranagar (4)
  3. Partly urban - Ilam, Bhadrapur, Damak, Dhankuta, Inarwa, Rajbiraj, Malangwa, Kalaiya, Lahan, Janakpur, Jaleswore, Hetauda, Bharatpur, Banepa, Dhulikel, Bidur, Tansen, Bhairawa, Butwal, Taulihawa, Trivhuvan Nagar, Nepalgunj, Birendra Nagar, Dhangadi, Dipayal (25)

After formation of sub-wards and subsequent mapping operation it became possible to avoid complicated sampling procedure. A single stage sampling of enumeration areas was adopted for all three strata. The details of the sampling scheme are found in the Report.

Selection of sub-wards was made according to the method for linear systematic sampling where the towns were arranged in the order of economically active population.

The stratification adopted here has been vindicated by results of the survey also. Percentage of households engaged in these four sectors of economic activities is higher (26.3%) in the towns under the category "Urban" and are lower in other categories with 21.9% in the "Semi-urban" and 20.7% in the "Partly urban" as shown by the survey results.

Mode of data collection

Face-to-face [f2f]

Research instrument

The Multipurpose Production Survey (Urban) employed a different questionnaire for each of the three sectors covered:

Questionnaire No. 11 - Small-scale Manufacturing and Cottage Industry Questionnaire No. 12 - Retail Trade Questionnaire No. 13 - Non-mechanised Transport

For a copy of the Questionnaires in Nepali please refer to the attached file of the Report: Questionnaire No. 10 - Listing Sheet Questionnaire No. 11 - Small-scale Manufacturing and Cottage Industry Questionnaire No. 12 - Retail Trade Questionnaire No. 13 - Non-mechanised Transport

Cleaning operations

All the questionnaires were edited thoroughly prior to processing in the computer. Number of rejections, i.e. those that did not fall within the scope was negligible. Efforts were made to make the classification and tabulation as much comparable to those as presented in the report of the MPS (Rural).

Search
Clear search
Close search
Google apps
Main menu