In 1500, the largest city was Paris, with an estimated 225 thousand inhabitants, almost double the population of the second-largest city, Naples. As in 1330, Venice and Milan remain the third and fourth largest cities in Western Europe, however Genoa's population almost halved from 1330 until 1500, as it was struck heavily by the bubonic plague in the mid-1300s. In lists prior to this, the largest cities were generally in Spain and Italy, however, as time progressed, the largest populations could be found more often in Italy and France. The year 1500 is around the beginning of what we now consider modern history, a time that saw the birth of many European empires and inter-continental globalization.

Between 1500 and 1800, London grew to be the largest city in Western Europe, with its population growing almost 22 times larger in this period. London would eventually overtake Constantinople as Europe's largest in the 1700s, before becoming the largest city in the world (ahead of Beijing) in the early-1800s.

The most populous cities in this period were the capitals of European empires, with Paris, Amsterdam, and Vienna growing to become the largest cities, alongside the likes of Lisbon and Madrid in Iberia, and Naples or Venice in Italy. Many of northwestern Europe's largest cities in 1500 would eventually be overtaken by others not shown here, such as the port cities of Hamburg, Marseilles or Rotterdam, or more industrial cities such as Berlin, Birmingham, and Munich.

It is estimated that the cities of Cordova (modern-day Córdoba) and Palermo were the largest cities in Europe in 1050, and had between fifteen and twenty times the population of most other entries in this graph, Despite this the cities of Cordova (the capital city of the Umayyad caliphate, who controlled much of the Iberian peninsula from the seventh to eleventh centuries), and Palermo (another Arab-controlled capital in Southern Europe) were still the only cities in Western Europe with a population over one hundred thousand people, closely followed by Seville. It is also noteworthy to point out that the five largest cities on this list were importing trading cities, in modern day Spain or Italy, although the largest cities become more northern and western European in later lists (1200, 1330, 1500, 1650 and 1800). In 1050, todays largest Western European cities, London and Paris, had just twenty-five and twenty thousand inhabitants respectively.

The period of European history (and much of world history) between 500 and 1500 is today known as the 'Dark Ages'. Although the term 'Dark Ages' was originally applied to the lack of literature and arts, it has since been applied to the lack or scarcity of recorded information from this time. Because of these limitations, much information about this time is still being debated today.

Throughout the early modern period, the largest city in Italy was Naples. The middle ages saw many metropolitan areas along the Mediterranean grow to become the largest in Europe, as they developed into meeting ports for merchants travelling between the three continents. Italy, throughout this time, was not a unified country, but rather a collection of smaller states that had many cultural similarities, and political control of these cities regularly shifted over the given period. Across this time, the population of each city generally grew between each century, but a series of plague outbreaks in the 1600s devastated the populations of Italy's metropolitan areas, which can be observed here. Naples At the beginning of the 1500s, the Kingdom of Naples was taken under the control of the Spanish crown, where its capital grew to become the largest city in the newly-expanding Spanish Empire. Prosperity then grew in the 16th and 17th centuries, before the city's international importance declined in the 18th century. There is also a noticeable dip in Naples' population size between 1600 and 1700, due to an outbreak of plague in 1656 that almost halved the population. Today, Naples is just the third largest city in Italy, behind Rome and Milan. Rome Over 2,000 years ago, Rome became the first city in the world to have a population of more than one million people, and in 2021, it was Italy's largest city with a population of 2.8 million; however it did go through a period of great decline in the middle ages. After the Fall of the Western Roman Empire in 476CE, Rome's population dropped rapidly, below 100,000 inhabitants in 500CE. 1,000 years later, Rome was an important city in Europe as it was the seat of the Catholic Church, and it had a powerful banking sector, but its population was just 55,000 people as it did not have the same appeal for merchants or migrants held by the other port cities. A series of reforms by the Papacy in the late-1500s then saw significant improvements to infrastructure, housing, and sanitation, and living standards rose greatly. Over the following centuries, the Papacy consolidated its power in the center of the Italian peninsula, which brought stability to the region, and the city of Rome became a cultural center. Across this period, Rome's population grew almost three times larger, which was the highest level of growth of these cities.

Paris was Western Europe's largest city in 1650, with an estimated 400 thousand inhabitants, which is almost double it's population 150 years previously. In second place is London, with 350 thousand inhabitants, however it has grown by a substantially higher rate than Paris during this time, now seven times larger than it was in the year 1500. Naples remains in the top three largest cities, growing from 125 to 300 thousand inhabitants during this time. In the previous list, the Italian cities of Milan and Venice were the only other cities with more than one hundred thousand inhabitants, however in this list they have been joined by the trading centers of Lisbon and Amsterdam, the capital cities of the emerging Portuguese and Dutch maritime empires.

The largest Western European city in 1200 was Palermo, with 150 thousand inhabitants. This is a great decrease in the number 150 years previously, where the population was 350 thousand. The city of Cordova also decreased by almost 400 thousand in this time, possibly because of the declining Arabian control and influence in the area. Seville is the third largest city on this list, although it's overall population decreased by ten thousand since 1050. The largest cities are generally in Spain or Italy, although the second largest city on this list is Paris, with 110 thousand inhabitants. In the lists that follow, Paris remains at the top as either the largest (1500 and 1650) or second largest (1330 and 1800) city in Western Europe.

A dataset listing Washington cities by population for 2024.

The urban–rural continuum classifies the global population, allocating rural populations around differently-sized cities. The classification is based on four dimensions: population distribution, population density, urban center location, and travel time to urban centers, all of which can be mapped globally and consistently and then aggregated as administrative unit statistics.Using spatial data, we matched all rural locations to their urban center of reference based on the time needed to reach these urban centers. A hierarchy of urban centers by population size (largest to smallest) is used to determine which center is the point of “reference” for a given rural location: proximity to a larger center “dominates” over a smaller one in the same travel time category. This was done for 7 urban categories and then aggregated, for presentation purposes, into “large cities” (over 1 million people), “intermediate cities” (250,000 –1 million), and “small cities and towns” (20,000–250,000).Finally, to reflect the diversity of population density across the urban–rural continuum, we distinguished between high-density rural areas with over 1,500 inhabitants per km2 and lower density areas. Unlike traditional functional area approaches, our approach does not define urban catchment areas by using thresholds, such as proportion of people commuting; instead, these emerge endogenously from our urban hierarchy and by calculating the shortest travel time.Urban-Rural Catchment Areas (URCA).tif is a raster dataset of the 30 urban–rural continuum categories for the urban–rural continuum showing the catchment areas around cities and towns of different sizes. Each rural pixel is assigned to one defined travel time category: less than one hour, one to two hours, and two to three hours travel time to one of seven urban agglomeration sizes. The agglomerations range from large cities with i) populations greater than 5 million and ii) between 1 to 5 million; intermediate cities with iii) 500,000 to 1 million and iv) 250,000 to 500,000 inhabitants; small cities with populations v) between 100,000 and 250,000 and vi) between 50,000 and 100,000; and vii) towns of between 20,000 and 50,000 people. The remaining pixels that are more than 3 hours away from any urban agglomeration of at least 20,000 people are considered as either hinterland or dispersed towns being that they are not gravitating around any urban agglomeration. The raster also allows for visualizing a simplified continuum created by grouping the seven urban agglomerations into 4 categories.Urban-Rural Catchment Areas (URCA).tif is in GeoTIFF format, band interleaved with LZW compression, suitable for use in Geographic Information Systems and statistical packages. The data type is byte, with pixel values ranging from 1 to 30. The no data value is 128. It has a spatial resolution of 30 arc seconds, which is approximately 1km at the equator. The spatial reference system (projection) is EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long). The geographic extent is 83.6N - 60S / 180E - 180W. The same tif file is also available as an ESRI ArcMap MapPackage Urban-Rural Catchment Areas.mpkFurther details are in the ReadMe_data_description.docx

The population density picture of Boston is generally a story of two Bostons: the high density central and northern neighborhoods, and the low density southern neighborhoods.The highest density areas of Boston are particularly concentrated in Brighton, Allston, and the Fenway area, areas of the city with large numbers of college students and young adults. There is also high population density in areas such as the Back Bay, the South End, Charlestown, the North End, and South Boston. These are all relatively small areas geographically, but have housing stock conducive to population density (e.g. multi-family dwelling units, row housing, large apartment buildings). The southern neighborhoods, specifically Hyde Park and West Roxbury, have significant numbers of people living in them, but lots sizes tend to be much larger. These areas of the city also tend to have more single family dwelling units. In that, there are fewer people per square mile than places north in the city. Census data reveals that population density varies noticeably from area to area. Small area census data do a better job depicting where the crowded neighborhoods are. In this map, areas of highest density exceed 30,000 persons per square kilometer. Very high density areas exceed 7,000 persons per square kilometer. High density areas exceed 5,200 persons per square kilometer. The last categories break at 3,330 persons per square kilometer, and 1,500 persons per square kilometer.How to make this map for your city

About this dataset

Context

The dataset tabulates the population of Suisun City by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Suisun City. The dataset can be utilized to understand the population distribution of Suisun City by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Suisun City. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Suisun City.

Key observations

Largest age group (population): Male # 10-14 years (1,500) | Female # 25-29 years (1,284). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Suisun City population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Suisun City is shown in the following column.
• Population (Female): The female population in the Suisun City is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Suisun City for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Suisun City Population by Gender. You can refer the same here

The dataset contains a hierarchal listing of New York State counties, cities, towns, and villages, as well as official locality websites

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Settlements boundary data (generalised to 20m) produced by Tailte Éireann. The layer represents Census 2016 theme 4.1, families, family members and children in families. Attributes include family size by number of families, number of persons and number of children (e.g. 2 persons (No. of families), 3 persons (No. of persons), 5 persons (No. of children)). Census 2016 theme 4 represents Families. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In order to distinguish between the urban and rural population for census analysis, the boundaries of distinct settlements need to be defined. This requires the creation of suburbs and extensions to existing cities and legal towns as well as delineating boundaries for settlements which are not legally defined (called Census towns). From 1971 to 2006, Census towns were defined as a cluster of fifty or more occupied dwellings where, within a radius of 800 metres there was a nucleus of thirty occupied dwellings (on both sides of a road, or twenty on one side of a road), along with a clearly defined urban centre e.g. a shop, a school, a place of worship or a community centre. Census town boundaries where extended over time where there was an occupied dwelling within 200 metres of the existing boundary. To avoid the agglomeration of adjacent towns caused by the inclusion of low density one off dwellings on the approach routes to towns, the 2011 criteria were tightened, in line with UN criteria. In Census 2011 a new Census town was defined as being a cluster with a minimum of 50 occupied dwellings, with a maximum distance between any dwelling and the building closest to it of 100 metres, and where there was evidence of an urban centre (shop, school etc). The proximity criteria for extending existing 2006 Census town boundaries was also amended to include all occupied dwellings within 100 metres of an existing building. Other information based on Tailte Éireann mapping and orthogonal photography was taken into account when extending boundaries. Boundary extensions were generally made to include the land parcel on which a dwelling was built or using other physical features such as roads, paths etc. Extensions to the environs and suburbs of legal towns and cities were also constructed using the 100 metre proximity rule applied to Census towns. For census reports, urban settlements are towns with a population of 1,500 or more, while settlements with a population of less than 1,500 are classified as rural.

This file contains the old cores of South Holland. The current city and village centres are often of medieval origin (1500 to 500 years ago). Occupies of several centuries lie here on each other. The soil archive in these nuclei thus contains very important information about their origins. On map is the size of towns and villages around 1850. After that, there was a period of major changes in the industrial era.

In the year 1500, the share of Western Europe's population living in urban areas was just six percent, but this rose to 31 percent by the end of the 19th century. Despite this drastic change, development was quite slow between 1500 and 1800, and it was not until the industrial revolution when there was a spike in urbanization. As Britain was the first region to undergo the industrial revolution, from around the 1760s until the 1840s, these areas were the most urbanized in Europe by 1890. The Low Countries Prior to the 19th century, Belgium and the Netherlands had been the most urbanized regions due to the legacy of their proto-industrial areas in the medieval period, and then the growth of their port cities during the Netherlands' empirical expansion (Belgium was a part of the Netherlands until the 1830s). Belgium was also quick to industrialize in the 1800s, and saw faster development than its larger, more economically powerful neighbors, France and Germany. Least-urban areas Ireland was the only Western European region with virtually no urbanization in the 16th and 17th century, but the industrial growth of Belfast and Dublin (then major port cities of the British Empire) saw this change by the late-1800s. The region of Scandinavia was the least-urbanized area in Western Europe by 1890, but it saw rapid economic growth in Europe during the first half of the following century.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Settlements boundary data (generalised to 20m) produced by Tailte Éireann. The layer represents Census 2016 theme 5.2, private households by size. Attributes include a breakdown of private households by size, number of households and number of persons (e.g. 3 person households (No. of households), 7 person households (No. of persons)). Census 2016 theme 5 represents Private Households. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In order to distinguish between the urban and rural population for census analysis, the boundaries of distinct settlements need to be defined. This requires the creation of suburbs and extensions to existing cities and legal towns as well as delineating boundaries for settlements which are not legally defined (called Census towns). From 1971 to 2006, Census towns were defined as a cluster of fifty or more occupied dwellings where, within a radius of 800 metres there was a nucleus of thirty occupied dwellings (on both sides of a road, or twenty on one side of a road), along with a clearly defined urban centre e.g. a shop, a school, a place of worship or a community centre. Census town boundaries where extended over time where there was an occupied dwelling within 200 metres of the existing boundary. To avoid the agglomeration of adjacent towns caused by the inclusion of low density one off dwellings on the approach routes to towns, the 2011 criteria were tightened, in line with UN criteria. In Census 2011 a new Census town was defined as being a cluster with a minimum of 50 occupied dwellings, with a maximum distance between any dwelling and the building closest to it of 100 metres, and where there was evidence of an urban centre (shop, school etc). The proximity criteria for extending existing 2006 Census town boundaries was also amended to include all occupied dwellings within 100 metres of an existing building. Other information based on Tailte Éireann mapping and orthogonal photography was taken into account when extending boundaries. Boundary extensions were generally made to include the land parcel on which a dwelling was built or using other physical features such as roads, paths etc. Extensions to the environs and suburbs of legal towns and cities were also constructed using the 100 metre proximity rule applied to Census towns. For census reports, urban settlements are towns with a population of 1,500 or more, while settlements with a population of less than 1,500 are classified as rural.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Settlements boundary data (generalised to 20m) produced by Tailte Éireann. The layer represents Census 2016 theme 10.4, population aged 15+ by highest level of education completed. Attributes include a breakdown of population by highest level of education completed and sex (e.g. Upper secondary - males, primary education - females). Census 2016 theme 10 represents Education. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. In order to distinguish between the urban and rural population for census analysis, the boundaries of distinct settlements need to be defined. This requires the creation of suburbs and extensions to existing cities and legal towns as well as delineating boundaries for settlements which are not legally defined (called Census towns). From 1971 to 2006, Census towns were defined as a cluster of fifty or more occupied dwellings where, within a radius of 800 metres there was a nucleus of thirty occupied dwellings (on both sides of a road, or twenty on one side of a road), along with a clearly defined urban centre e.g. a shop, a school, a place of worship or a community centre. Census town boundaries where extended over time where there was an occupied dwelling within 200 metres of the existing boundary. To avoid the agglomeration of adjacent towns caused by the inclusion of low density one off dwellings on the approach routes to towns, the 2011 criteria were tightened, in line with UN criteria. In Census 2011 a new Census town was defined as being a cluster with a minimum of 50 occupied dwellings, with a maximum distance between any dwelling and the building closest to it of 100 metres, and where there was evidence of an urban centre (shop, school etc). The proximity criteria for extending existing 2006 Census town boundaries was also amended to include all occupied dwellings within 100 metres of an existing building. Other information based on Tailte Éireann mapping and orthogonal photography was taken into account when extending boundaries. Boundary extensions were generally made to include the land parcel on which a dwelling was built or using other physical features such as roads, paths etc. Extensions to the environs and suburbs of legal towns and cities were also constructed using the 100 metre proximity rule applied to Census towns. For census reports, urban settlements are towns with a population of 1,500 or more, while settlements with a population of less than 1,500 are classified as rural.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Settlements boundary data (generalised to 20m) produced by Tailte Éireann. The layer represents Census 2016 theme 4.2, family units with children. Attributes include family units by number of children and age of children (e.g. families with 1 child - all children aged under 15, families with 3 children - all children aged both under 15 and over 15 ). Census 2016 theme 4 represents Families. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO.In order to distinguish between the urban and rural population for census analysis, the boundaries of distinct settlements need to be defined. This requires the creation of suburbs and extensions to existing cities and legal towns as well as delineating boundaries for settlements which are not legally defined (called Census towns). From 1971 to 2006, Census towns were defined as a cluster of fifty or more occupied dwellings where, within a radius of 800 metres there was a nucleus of thirty occupied dwellings (on both sides of a road, or twenty on one side of a road), along with a clearly defined urban centre e.g. a shop, a school, a place of worship or a community centre. Census town boundaries where extended over time where there was an occupied dwelling within 200 metres of the existing boundary. To avoid the agglomeration of adjacent towns caused by the inclusion of low density one off dwellings on the approach routes to towns, the 2011 criteria were tightened, in line with UN criteria. In Census 2011 a new Census town was defined as being a cluster with a minimum of 50 occupied dwellings, with a maximum distance between any dwelling and the building closest to it of 100 metres, and where there was evidence of an urban centre (shop, school etc). The proximity criteria for extending existing 2006 Census town boundaries was also amended to include all occupied dwellings within 100 metres of an existing building. Other information based on Tailte Éireann mapping and orthogonal photography was taken into account when extending boundaries. Boundary extensions were generally made to include the land parcel on which a dwelling was built or using other physical features such as roads, paths etc. Extensions to the environs and suburbs of legal towns and cities were also constructed using the 100 metre proximity rule applied to Census towns. For census reports, urban settlements are towns with a population of 1,500 or more, while settlements with a population of less than 1,500 are classified as rural.

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).

Henderson, Chesapeake, and Virginia Beach were the cities in the United States where the average size of rental apartments was the largest in 2024. In Henderson, NV, this measured at *** square feet, whereas in Seattle, WA, the average apartment was much smaller at *** square feet. When it comes to affordability, Wichita, KS, was the city where 1,500 U.S. dollars would get renters the largest apartment.