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 Commercial Banks for Nepal (NPLFCBODCLNUM) from 2004 to 2014 about Nepal, branches, banks, and depository institutions.

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 )

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).

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。