Key information about Nepal Private Consumption: % of GDP

• Nepal Private Consumption accounted for 86.1 % of its Nominal GDP in Jul 2024, compared with a ratio of 85.9 % in the previous year.
• Nepal Private Consumption contribution to Nominal GDP ratio is updated yearly, available from Jul 1975 to Jul 2024, with an average share of 80.9 %.
• The data reached an all-time high of 88.4 % in Jul 2016 and a record low of 75.1 % in Jul 1995.

CEIC calculates Private Consumption as % of Nominal GDP from annual Private Consumption Expenditure and annual Nominal GDP. Private Consumption Expenditure is calculated as the sum of Household and NPISHs Consumption. The Central Bureau of Statistics provides Private Consumption Expenditure in local currency and Nominal GDP in local currency, at producer prices, both based on SNA 2008. Private Consumption as % of Nominal GDP is in annual frequency, generally ending on July 15th of each year. Private Consumption as % of Nominal GDP prior to 2011 is calculated from Private Consumption Expenditure and Nominal GDP, both based on SNA 1993. Private Consumption as % of Nominal GDP prior to 2001 is sourced from the World Bank.


Related information about Nepal Private Consumption: % of GDP

• In the latest reports, Nepal GDP expanded 0.7 % YoY in Dec 2023.
• Its Nominal GDP reached 40.8 USD bn in Jul 2022.
• Nepal GDP Per Capita reached 1,399.0 USD in Jul 2023.
• Its Gross Savings Rate was measured at 35.6 % in Jul 2024.

Abstract

The 2021 NPHC is tthe first census conducted under the federal structure of Nepal. The main census enumeration was originally scheduled to take place over 15 days- from June 8 to 22, 2021, but due to the COVID-19 pandemic, the enumeration was postponed for five months. Once the impact of the pandemic subsided, the enumeration was carried out according to a new work plan for a 15 dya period from November 11 to 25, 2021.

This report contains statistical tables at the national, provincial, district and municipal levels, derived from the topics covered in the census questionaires. The work of the analyzing the data in detail is still in progress. The report provides insights into the different aspects of the census operation, including its procedure, concepts, methodology, quality control, logistics, communication, data processing, challenges faced, and other management aspects.

This census slightly differs from the previous censuses mainly due to the following activities: i. three modes of data collection (CAPI, PAPI and e-census); ii. a full count of all questions instead of sampling for certain questions, as was done in the previous two censuses, iii. collaboration with Ministry of Health and Population to ascertain the likely maternal mortality cases reported in the census by skilled health personnel; iv. data processing within its premises; v. recuitment of fresh youths as supervisor and enumerators; and vi. using school teachers as master trainers, especially for the local level training of enumerators.

The objectives of the 2021 Population Census were:

a) to develop a set of benchmark data for different purposes. b) to provide distribution of population by demographic, social and economic characteristics. c) to provide data for small administrative areas of the country on population and housing characteristics. d) to provide reliable frames for different types of sample surveys. e) to provide many demographic indicators like birth rates, death rates and migration rates. f) to project population for the coming years.

The total population of Nepal, as of the census day (25 November 2021) is 29,164,578, of which the number of males is 14,253,551 (48.87 %) and the number of females is 14,911,027 (51.13 %). Accordingly, the sex ratio is 95.59 males per 100 females. Annual average population growth rate is 0.92 percent in 2021.

Geographic coverage

National Level, Ecological belt, Urban and Rural, Province, District, Municipality, Ward Level

Analysis unit

The census results provide information up to the ward level (the lowest administrative level of Nepal), household and indivisual.

Universe

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

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f] and online

Research instrument

In this census three main questionnaires were developed for data collection. The first was the Listing Form deveoped mainly for capturing the basic household informatioin in each Enumeration area of the whole country. The second questionnaire was the main questionnaire with eight major Sections as mentioned hereunder.

Listing Questionaire Section 1. Introduction Section 2. House information Section 3. Household information Section 4. Agriculture and livestock information Section 5. Other information

Main Questionaire Section 1. Introduction Section 2. Household Information Section 3. Individual Information Section 4. Educational Information Section 5. Migration Section 6. Fertility Section 7.Disability Section 8. Economic Activity

For the first time, the NPHC, 2021 brougt a Community Questionnaire aiming at capturing the socio-economic and demographic characteristics of the Wards (the lowest administrative division under Rural/Urban Municipalities). The Community Questionnaire contains 6 Chapters. The information derived from community questionnaire is expected to validate (cross checks) certain information collected from main questionnaire.

Community questionaire Section 1. Introduction Section 2. Basic information of wards Section 3. Caste and mother tongue information Section 4. Current status of service within wards Section 5. Access of urban services and facilities within wards Section 6. Status of Disaster Risk

It is noteworty that the digital version of questionnare was applied in collecting data within the selected municipalities of Kathmandu Valley. Enumerators mobilized in Kathmandu Valley were well trained to use tablets. Besides, online mode of data collection was adpoted for all the Nepalese Diplomatic Agencies located abroad.

Cleaning operations

For the concistency of data required logics were set in the data entry programme. For the processing and analysis of data SPSS and STATA programme were employed.

Key information about Nepal Private Debt: % of Nominal GDP

• Nepal Private Debt accounted for 74.44 % of its Nominal GDP in Dec 2024, compared with a ratio of 74.92 % in the previous year
• Nepal Private Debt contribution to Nominal GDP ratio is updated yearly, available from Dec 2003 to Dec 2024, with an average share of 36.78 %
• The data reached an all-time high of 78.75 % in Dec 2021 and a record low of 23.67 % in Dec 2003

CEIC shifts year-end for annual Private Debt as % of Nominal GDP. CEIC calculates annual Private Debt as % of Nominal GDP from annual Private Debt and annual Nominal GDP. Private Debt is calculated by subtracting Credits to Local Government, and Finance Insurance and Fixed Assets sector from Total Credits. Nepal Rastra Bank provides Private Debt in local currency. The Central Bureau of Statistics provides Nominal GDP in local currency, at producer prices, based on SNA 2008. Private Debt and Nominal GDP are reported in annual frequency, generally ending on July 15th of each year. Private Debt as % of Nominal GDP prior to 2011 is calculated from Nominal GDP, based on SNA 1993.

Abstract

The Statistical User Satisfaction Survey 2017 conducted by Central Bureau of Statistics (CBS), Nepal is the first of its kind. The main objective of the SUSS 2017 is to assess the level of satisfaction of users with the current state of official statistics produced by CBS. The other specific objectives are to access quality levels of services and products provided by CBS, examine service delivery systems, identify constraints and propose recommendations for improvement. Respondents of the survey are partner agencies of National Statistical System which supply or use data produced by CBS as well as national and international data user of CBS. The survey employs a purposive sample selection procedure from six groups of users affiliated to: 1. Government abd semi-government organizations, 2. NGO/INGO and international development parters, 3. Academic and research institutes, 4. Financial, business, trade and commercial organizations, 5. Media and press, 6. Political parties and civil societies. Users are selected from 49 districts of all 7 provinces where CBS statistics using agencies and organizations are located in greater numbers.The survey used both traditional paper questionnaires and modern IT based CAPI and email correspondence with e-questionnaires for data collection. The findings from the survey will be helptul to CBS for further improvement of quality of its future products and services.

Geographic coverage

National Coverage

Analysis unit

Individual (user of statistical products and services of CBS, Nepal)

Universe

All individuals who use the product and service of Central Bureau of Statistics.

Kind of data

Sample survey data [ssd]

Sampling procedure

The SUSS 2017 uses a purposive sample selection method. The total sample size is 1200 users. Statistical user satisfaction survey 2017 has total sampl size of 1200. Sample units are purposively selected among the users of CBS products and services who are affiliated in six different agencies or organizations as follows:

Agency type Sample size %
Government/semi government 192 16.0
NGO/INGO/Int'l dev partners 240 20.0
Academic/Research institute 360 30.0
Financial/bussiness/commerce/trade 144 12.0
Media/Press 144 12.0
Political party/civil society 120 10.0
Total 1200 100

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey employs both traditional paper questionnaire, and IT based CAPI, and eQuestionnaire through email. Paper questionnaires are used in districts outside Kathamndu, CAPI is used in Kathmandu valley and the pdf fill-in eQuestionnaire is sent to registered users located inside and outside of country via email. The questionnaire is divided into 7 sections as follows:

Section 1. Introduction Section 2. Use of CBS data and publication Section 3: Quality of CBS statistics Section 4: User perspective in CBS website Section 5: User perspective on CBS statistical services Section 6: Services of CBS statistics office in district Section 7: User's feedback

Cleaning operations

For the consistency of data required logics were set in the data entry programme. For the processing and analysis of data SPSS and STATA programme were employed.

Response rate

The response rate of this survey is 85 percent.

Nepal NP: School Enrollment: Primary: Private: % of Total Primary data was reported at 16.570 % in 2017. This records an increase from the previous number of 15.323 % for 2016. Nepal NP: School Enrollment: Primary: Private: % of Total Primary data is updated yearly, averaging 11.884 % from Dec 1983 (Median) to 2017, with 19 observations. The data reached an all-time high of 16.570 % in 2017 and a record low of 1.155 % in 1984. Nepal NP: School Enrollment: Primary: Private: % of Total Primary data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank: Education Statistics. Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

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

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Abstract

The objectives of the 2011 Population Census were:

a) to develop a set of benchmark data for different purposes, b) to provide distribution of population by demographic, social and economic characteristics. c) to provide data for small administrative areas of the country on population and housing characteristics. d) to provide reliable frames for different types of sample surveys, e) to provide many demographic indicators like birth rates, death rates and migration rates. f) to project population for the coming years.

Geographic coverage

National Level, Development Region Level, Ecological belt, Urban and rural, District, Village Development Committee/Municipality, Ward Level

Analysis unit

The census results provide information up to the ward level(the lowest administrative level of Nepal),household and Indimvisual

Universe

The National Popualtion and Housing Census 2011 covere all individuals of each households (usual residents) of Nepal.

Kind of data

Census/enumeration data [cen]

Sampling procedure

National Population and Housing Census 2011 uses two schedule for data collection. The short form (schedule 01) for the complete enumeration of the benchmark information and the long form (schedule 02) for the sample enumeration of other socio-economic and demographic information. The long form was administered for population dwellings in about 20 percent of the total housing units. Based on these, estimates were generated at the district level with reliable degree of precision.

The sampling scheme of the 2011 Population Census for the long form is summarized below.

1. The sampling covered the private households only. For the institutional population, Schedule-1 only was administered.

2. For the sampling, 75 administrative districts formed the main strata and VDC's and municipalities within the district formed the domains.

3. There were around 36,000 wards in the country at the time of the census. For the purpose of the census enumeration some of the large wards were further divided into sub-wards. These wards and sub-wards formed the EA's for sampling. The total number of EAs thus formed were around 40,000.

4. Sampling was carried out in each EA; housing unit being the sampling unit.

5. The list of housing units and households served as the sampling frame for the EA. The housing units were selected by systematic sampling method. The sampling interval taken was 8.

6. The list of selected housing units was made available to the enumerator for the enumeration. All households and persons found in the selected units were enumerated.

7. The ratio method was used in making estimates for the sample.

8. Tabulation groups were created separately for tabulation of persons and those for households. The main control variables for the majority of tabulations for persons were two variables: age sex. Tabulation groups for household tabulations were formed in a different manner: taking households as a tabulation group in the domain.

9. To implement the ratio estimation, first weights were calculated. The weights for sample data were computed by dividing the 100 percent counts for the same tabulation groups in the domain by sample counts for the same tabulation groups in the domain. To avoid inconsistency due to rounding, the figures were converted to whole numbers.

This detailed sampling procedure is documented in the Technical Documents.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of schedules were prepared. Form 1 for complete enumeration and Form 2 for sample enumeration. Both schedules contained questions on household as well as individuals.

FORM 1: (COMPLETE Enumeration) A. Household Information (Question relating to Household), Type of house ownership, type of foundation, type of outer wall, type of roof, main source of drinking water, usual type of fuel used for cooking, usual source of lighting, toilet facility, household facilities, Female ownership on house, area of land owned by female member, death occur during the last 12 months, sex, age of deased person and cause of death, Absentees from Household (HH), reasons & country of destination.

B. Individual Information (Question relating to Individuals), Name, sex, age, relationship to the Household head, Caste/ethnicity, marital status, age at first marriage, religion, Language spoken, citizen, disability, literacy status, level of education.

FORM 2: (SAMPLE Enumeration) A. Individual Information (Question relating to Individuals), Place of birth, years of staying, reason of staying, place of living before 5 year, Children ever born, live births during the last 12 months, Usual activity during the last 12 months (economic/non-economic activities), occupation, industry, employment status, reasons for not being active, living arrangement of children below 16 years of age.

Cleaning operations

Data editing and cleaning take place in various stages: a) Coding is done for open ended questions like Caste/Ethnicity, Mother tongue, Second language, Cause of death, Country of destination, Citizenship, Occupation and Industry etc. by manually. b) Data entry application was developed with comphrehensive logic to capture miskeying as well as intra-record and inter-record inconsitencies. CSPro software is used to develop data entry application for data capturing. c) Structure checking and completeness check upto ward level. CSPro Batch edit program and SPSS programm is used to check structure checking and completeness check. d) hot deck and cold deck techniques are used in second stage of data editing and cleaning. CSPro Batch edit program is written to address automatically where inconsistencs and
anomalies are found. e) 10% sample questionnaires are re-entry to control miskeying.

Response rate

At the time of census there were 3,914 VDC's and 58 municipalities. VDC's contained a total of 35,226 wards while urban areas contained 806 wards. Thus total numbers of wards in the country were 36,032. All households and individuals from the total wards are counted at the census. However, the post enumeration survey shows that about 3.5% population are under enumerated.

Data appraisal

The field work of the Post Enumeration Survey (PES) was conducted in September 2011, three months after the main census. The sample size for this survey, owing to time constraints, was fixed at 10,000 households. enumeration rate was estimated to be around 3.63% in the census of 2011 compared to 5.3% in 2001.

Tea: Area and Production by Districts Source: STATISTICAL INFORMATION ON NEPALESE AGRICULTURE 2073/74 (2016/17)

Nepal: Bank credit to the private sector as percent of GDP: The latest value from 2024 is 91.94 percent, an increase from 91.37 percent in 2023. In comparison, the world average is 51.87 percent, based on data from 130 countries. Historically, the average for Nepal from 1960 to 2024 is 27.18 percent. The minimum value, 1.04 percent, was reached in 1960 while the maximum of 103.53 percent was recorded in 2021.

Nepal NP: School Enrollment: Secondary: Private: % of Total Secondary data was reported at 14.363 % in 2008. This records a decrease from the previous number of 26.728 % for 2005. Nepal NP: School Enrollment: Secondary: Private: % of Total Secondary data is updated yearly, averaging 16.593 % from Dec 2001 (Median) to 2008, with 5 observations. The data reached an all-time high of 27.771 % in 2003 and a record low of 14.363 % in 2008. Nepal NP: School Enrollment: Secondary: Private: % of Total Secondary data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank: Education Statistics. Private enrollment refers to pupils or students enrolled in institutions that are not operated by a public authority but controlled and managed, whether for profit or not, by a private body such as a nongovernmental organization, religious body, special interest group, foundation or business enterprise.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Nepal NP: Domestic Private Health Expenditure: % of Current Health Expenditure data was reported at 71.389 % in 2015. This records an increase from the previous number of 70.844 % for 2014. Nepal NP: Domestic Private Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 65.188 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 71.389 % in 2015 and a record low of 49.726 % in 2006. Nepal NP: Domestic Private Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank: Health Statistics. Share of current health expenditures funded from domestic private sources. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

Nepal NP: Birth Rate: Crude: per 1000 People data was reported at 19.710 Ratio in 2016. This records a decrease from the previous number of 19.973 Ratio for 2015. Nepal NP: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 39.381 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 44.942 Ratio in 1960 and a record low of 19.710 Ratio in 2016. Nepal NP: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Nepal NP: Net Migration data was reported at -350,000.000 Person in 2017. This records an increase from the previous number of -372,369.000 Person for 2012. Nepal NP: Net Migration data is updated yearly, averaging -158,777.000 Person from Dec 1962 (Median) to 2017, with 12 observations. The data reached an all-time high of 76,064.000 Person in 1992 and a record low of -1,023,896.000 Person in 2007. Nepal NP: Net Migration data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank.WDI: Population and Urbanization Statistics. Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Sum;

Nepal Population Census data was reported at 29,164,578.000 Person in 2021. This records an increase from the previous number of 26,494,504.000 Person for 2011. Nepal Population Census data is updated yearly, averaging 10,484,489.500 Person from Dec 1911 (Median) to 2021, with 12 observations. The data reached an all-time high of 29,164,578.000 Person in 2021 and a record low of 5,532,574.000 Person in 1930. Nepal Population Census data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G001: Population Census.

Nepal NP: Domestic Private Health Expenditure Per Capita: Current Price data was reported at 0.000 USD mn in 2015. This records an increase from the previous number of 0.000 USD mn for 2014. Nepal NP: Domestic Private Health Expenditure Per Capita: Current Price data is updated yearly, averaging 0.000 USD mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 USD mn in 2015 and a record low of 0.000 USD mn in 2000. Nepal NP: Domestic Private Health Expenditure Per Capita: Current Price data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank: Health Statistics. Current private expenditures on health per capita expressed in current US dollars. Domestic private sources include funds from households, corporations and non-profit organizations. Such expenditures can be either prepaid to voluntary health insurance or paid directly to healthcare providers.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

Nepal NP: Population: Female: Ages 60-64: % of Female Population data was reported at 2.991 % in 2017. This records a decrease from the previous number of 3.082 % for 2016. Nepal NP: Population: Female: Ages 60-64: % of Female Population data is updated yearly, averaging 2.358 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.130 % in 2015 and a record low of 2.066 % in 1960. Nepal NP: Population: Female: Ages 60-64: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank: Population and Urbanization Statistics. Female population between the ages 60 to 64 as a percentage of the total female population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Nepal Employment: Female: Private Households data was reported at 48.000 Person th in 2018. Nepal Employment: Female: Private Households data is updated yearly, averaging 48.000 Person th from Jun 2018 (Median) to 2018, with 1 observations. Nepal Employment: Female: Private Households data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G014: Nepal Labour Force Survey III: Employment: by Industry.

Nepal NP: Private Credit Bureau Coverage: % of Adults data was reported at 1.700 % in 2017. This records a decrease from the previous number of 1.800 % for 2016. Nepal NP: Private Credit Bureau Coverage: % of Adults data is updated yearly, averaging 0.300 % from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 1.800 % in 2016 and a record low of 0.000 % in 2004. Nepal NP: Private Credit Bureau Coverage: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nepal – Table NP.World Bank.WDI: Businesses Registered Statistics. Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

Nepal Average Hours Worked per Week: Usual: Private Households data was reported at 45.000 Hour in 2018. Nepal Average Hours Worked per Week: Usual: Private Households data is updated yearly, averaging 45.000 Hour from Jun 2018 (Median) to 2018, with 1 observations. Nepal Average Hours Worked per Week: Usual: Private Households data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Nepal – Table NP.G019: Nepal Labour Force Survey III: Average Hours Worked per Week: by Industry.