This statistic shows the ten largest cities in Nepal in 2021. Around 0.86 million people lived in Kathmandu in 2021, making it the largest city in Nepal.

Actual value and historical data chart for Nepal Population In Largest City

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Other Deposit Takers for Nepal (NPLFCBODDLNUM) from 2012 to 2015 about Nepal and branches.

This horizontal bar chart displays inflation (annual %) by capital city using the aggregation median in Nepal. The data is about countries per year.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Non-deposit Taking Microfinance Institutions (MFIs) for Nepal (NPLFCBMFNLNUM) from 2012 to 2015 about microfinance, Nepal, and branches.

The raster dataset consists of a 1km score grid for major cereals storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location. Major cereals include barley, millet, wheat, maize, sorghum, and rice. The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse location: • Supply: Crop. • Demand: Human population density, Major cities population (national and bordering countries). • Infrastructure/accessibility: main transportation infrastructure. It consists of an arithmetic weighted sum of normalized grids (0 to 100): ("Crop Production" * 0.4) + ("Human Population Density" * 0.2) + (“Major Cities Accessibility” * 0.3) + (”Regional Cities Weighted Accessibility” *0.1 )

NP：最大城市人口在12-01-2017达1,266,114.000人，相较于12-01-2016的1,224,098.000人有所增长。NP：最大城市人口数据按年更新，12-01-1960至12-01-2017期间平均值为364,819.500人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达1,266,114.000人，而历史最低值则出现于12-01-1960，为119,177.000人。CEIC提供的NP：最大城市人口数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的尼泊尔 – 表 NP.世界银行：人口和城市化进程统计。

Abstract

The 2024 Nepal Informal Sector Enterprise Survey was conducted by the World Bank Group's (WBG) Enterprise Analysis Unit (DECEA) in several cities in Nepal. The survey covers the following cities: Kathmandu, Biratnagar, Dhankuta, Janakpur, Birgunj, Pokhara, Butwal, and Nepalgunj. The fieldwork was implemented by Solutions Consultant Pvt. Ltd., and the data was collected between November 2024 and March 2025.

The primary objectives of the Informal Sector Enterprise Surveys are to: i) understand demographics of the informal sector in the covered cities, ii) describe the environment within which these businesses operate, and iii) enable data analysis based on the samples that are representative at each city level.

Geographic coverage

The survey covers the following cities: Kathmandu, Biratnagar, Dhankuta, Janakpur, Birgunj, Pokhara, Butwal, and Nepalgunj.

Analysis unit

• Informal business

Universe

For the 2024 Informal Sector Enterprise Surveys in cities in Nepal, a business is considered informal if it is not registered with the Inland Revenue Department (IRD). Thus, the universe of the survey includes all businesses that meet the above definition of informality, including all sectors of activity of any size. The universe excludes, however, any illicit or illegal activity.

Kind of data

Sample survey data [ssd]

Sampling procedure

A challenge to conducting a representative survey of informal sector businesses is the lack of a proper sampling frame since these businesses are not registered and, therefore, they are almost always absent from official registries or any other potential sampling frame. The Informal Sector Enterprise Surveys follow an area-based sampling methodology. Each city is overlayed with a spatial grid, dividing the area into squares of equal size. In the case of the 2024 Informal Sector Enterprise Surveys in cities in Nepal these squares measured 150 meters by 150 meters. This spatial grid is prepared using a GIS software. Often, the boundaries of the city match a set of administrative boundaries. Nevertheless, when appropriate, a wider urban area (possibly outside of administrative boundaries) is used to best capture the extent of informal business activity in an area. The resulting map is reviewed and approved by the relevant WBG Task Team Leader (TTL) in consultation with the implementing contractor.

Note: Detailed sampling methodology can be found on the Enterprise Surveys website under the Informal Businesses section, Methodology page (https://www.enterprisesurveys.org/en/informal-businesses/methodology).

Mode of data collection

Computer Assisted Personal Interview [capi]

NP：最大城市人口：占城镇人口百分比在12-01-2017达22.290%，相较于12-01-2016的22.235%有所增长。NP：最大城市人口：占城镇人口百分比数据按年更新，12-01-1960至12-01-2017期间平均值为24.042%，共58份观测结果。该数据的历史最高值出现于12-01-1960，达34.032%，而历史最低值则出现于12-01-2001，为19.984%。CEIC提供的NP：最大城市人口：占城镇人口百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的尼泊尔 – 表 NP.世界银行：人口和城市化进程统计。

Abstract

The National Statistics Office, previously known as the Central Bureau of Statistics, conducted the National Sample Census of Agriculture 2021/22 (NSCA 2021/22) covering all parts of the country. Nepal has a glorious history of taking the agriculture census once every ten years, with the first one taking place in 1961/62 and subsequent ones in 1971/72, 1981/82, 1991/92, 2001/02, 2011/12, and 2021/22. The NSCA 2021/22 is the seventh census in this cycle and the first one after the new federal setup of the country. Its primary purpose is to provide data on the tructural aspects of agriculture that change slowly over time, such as farm size, land use, crop areas, and number of livestock, up to the local level (municipality). The census also includes the basic data on the organizational structure of agricultural holdings, including land tenure, irrigation, livestock numbers, labor, and use of machinery and other agricultural inputs. Furthermore, the census content has been broadened to encompass current areas of concern that vary annually, including the production of major crops. The census provides benchmark data on agriculture which is essential for monitoring and evaluating the impact of development policies and programs and addressing emerging social, economic, and environmental policy issues in agriculture. Regarding the content of the census, including statistical concepts, definitions, classifications, and output, the census has adhered to the guidelines set forth by the World Program for the Census of Agriculture 2020 (WCA 2020) developed by the FAO.

The main objectives of the agriculture census 2021/22 are as following :

1. To provide basic data on the structure of agriculture and characteristics of holdings for small geographical area (municipality),

2. To assist in planning and policy-making for agricultural development across the three tiers of government and monitoring the progress achieved,

3. To provide reliable data for benchmarking and reconciliation of current agriculture statistics,

4. To design frame for other agricultural surveys,

5. To avail core data for compilation and monitoring of some agriculture-related SDG indicators.

Geographic coverage

The seventh census of agriculture 2021/22 also covers the entire country including all districts and local levels (Urban and Rural Municipalities).

Analysis unit

Agriculture Holding

Universe

The census covers individual agriculture holdings of the country.

Kind of data

Census data [cen]

Sampling procedure

Sampling design

1. Domain of estimation Nepal is divided into seven provinces, 77 districts, and 753 municipalities for administrative purposes. The NSCA 2021/22 provides accurate estimates at the municipality level, making the 753 municipalities as domains of estimation for the sampling design.

2 Sampling method The sampling method for estimation of various parameters of interest at municipality level is one of strati?ied two-stage sampling. Within a municipality the enumeration areas (EAs) are the primary stage units (PSUs) of sampling and within the selected enumeration area the agricultural households are the second stage units (SSUs) of sampling. The enumeration areas are selected by probability proportional to size (PPS) systematic sampling (the number of holdings in the enumeration area is the size variable). The SSUs are selected by equal probability systematic sampling with implicit stratification.

3 Sampling frame In line with the proposed sampling design, there are two types of sampling frame used for the agriculture census 2021/22: the frame for selecting the PSUs and the frame for the selection of agricultural holdings. The sampling frame for PSUs was prepared from the list of enumeration areas (EAs) from the National Population and Housing Census 2021 (NPHC 2021). Following FAO recommendations an agricultural module was incorporated in the NPHC collecting basic agriculture related information from all households in the country including total area of operational holding, number of livestock, and number of poultry birds The frame of PSUs consisted of the list of enumeration areas along with the number of households and agricultural households.The frame for SSUs was developed through listing operations in the sampled EAs. All households are interviewed in each EA in order to develop an updated list of agricultural households as sample frame of SSUs in the selected EA.

4 Sample size The municipality is the sample domain of the census, therefore the sample size was determined ensuring reliable estimations of key variables of interest at municipality level. As recommended by FAO, agricultural area is a suitable variable that is considered in calculating the sample size. The target number of holdings sampled from each selected EA was set at 25. The actual number sampled varied between 20 and 30 and was determined in such a way to ensure equal probability of selection for all holdings in a municipality. Altogether, a sample of 330,112 holdings for the whole country (8% of all holdings) were selected from 13,576 EAs in the NSCA 2022.

5 Sample selection

The sample of PSUs was selected with a systematic probability proportional to sizemethod considering the number of agricultural households as measure of size.Selection of SSUs (agricultural households) were carried out in the field. The selection was done by using usual equal probability linear systematic sampling. However, before selection, an implicit stratification for Tarai and Hill/Mountain was used by making four implicit strata as follows: • Less than 1 Bigha (0.68Ha)/10 Ropani (0.51Ha) • 1 to 3 Bigha (0.68 to 2.03 Ha)/10 to 20 Ropani (0.51 to 1.01 Ha) • More than 3 Bigha (2.03 Ha)/ 20 Ropani (1.01 Ha) • Only having livestock.

Sampling deviation

No need to derive sample design

Mode of data collection

Face-to-face f2f

Research instrument

The questionnaires implemented in the National Sample Census of Agriculture 2021/22 to collect data are as follows: 1. Holding listing form (Form 1) Form 1 is a holding listing form that has been used to list all the agriculture holdings (within the cut-off threshold) in the selected enumeration area. It has been used as a frame to select the holdings (SSUs).

2 Selected holding listing form (Form 1A) The Form 1A is used to prepare a list of selected holdings that is used to fill out the main questionnaire (Form 2).

3 Agriculture holding questionnaire (Form 2) Form 2 is the main questionnaire implemented in the census to collect the agricultural data in detail from the selected holdings.

4 Community questionnaire (Form 3) Form 3 is used to collect community-level data from the ward office of the municipality.

Cleaning operations

The completed questionnaires collected from the various census offices were safely stored in the central storage building. Data processing for the census was done within the NSO premises. The data processing center of the NSO was equipped with basic facilities and functionalities like laptops, a local server, a local area network (LAN), security cameras, furniture, and air conditioners.The coding and editing of the questionnaires were accomplished by the temporarily recruited 50 coders and editors from November, 2022 to January, 2023. Likewise, the data entry of the hardcopy questionnaire were accomplished by the temporarily recruited 100 entry operators from November, 2022 to January, 2023.

Response rate

100%

Sampling error estimates

The NSO was highly focused on ensuring the accuracy of census data by implementing various measures to minimize non-sampling errors. To reduce sampling errors, an appropriate sampling design was prepared modifying the designs used in previous agriculture sample censuses. Quality control mechanisms for the data included training, supervision, completeness checks, verification of data entry, and consistency checks.

Data appraisal

Census estimates given in the tables are subject to sampling errors, standard error, relative standard error because the data are based on a sample of holdings rather than the entire population of holdings.The size of the SE,SE, RSR are estimated for major outputs. It is presented seperately in a technical report. The technical report provided more detailed information about how the errors are calculated. Therefore,in interpreting the tables, the figures should be suitably rounded off.