This statistic shows the biggest cities in Latvia in 2025. In 2025, approximately **** million people lived in Riga, making it the biggest city in Latvia.

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

Latvia LV: Population in Largest City data was reported at 639,982.000 Person in 2017. This records a decrease from the previous number of 642,888.000 Person for 2016. Latvia LV: Population in Largest City data is updated yearly, averaging 751,246.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 909,181.000 Person in 1989 and a record low of 597,367.000 Person in 1960. Latvia LV: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Latvia – Table LV.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

This horizontal bar chart displays population (people) by capital city using the aggregation sum in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

Latvia LV: Population in Largest City: as % of Urban Population data was reported at 48.441 % in 2017. This records an increase from the previous number of 48.232 % for 2016. Latvia LV: Population in Largest City: as % of Urban Population data is updated yearly, averaging 49.299 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 53.275 % in 1960 and a record low of 46.244 % in 2008. Latvia LV: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Latvia – Table LV.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

About this dataset

Context

This list ranks the 1 cities in the Major County, OK by Latvian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Latvian Population: This column displays the rank of city in the Major County, OK by their Latvian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Latvian Population: The Latvian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Latvian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Major County Latvian Population: This tells us how much of the entire Major County, OK Latvian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 2 cities in the Big Stone County, MN by Latvian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Latvian Population: This column displays the rank of city in the Big Stone County, MN by their Latvian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Latvian Population: The Latvian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Latvian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Big Stone County Latvian Population: This tells us how much of the entire Big Stone County, MN Latvian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 1 cities in the Big Horn County, MT by Latvian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Latvian Population: This column displays the rank of city in the Big Horn County, MT by their Latvian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Latvian Population: The Latvian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Latvian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Big Horn County Latvian Population: This tells us how much of the entire Big Horn County, MT Latvian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

This horizontal bar chart displays male population (people) by capital city using the aggregation sum in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

This horizontal bar chart displays countries yearly by capital city using the aggregation count in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

Domestic tourism in Latvia was highest in the capital city Riga, where over *********** same-day trips were made by residents in 2023. Jūrmala, the largest resort city on the shores of the Baltic Sea, followed the leader with about ******* same-day trips.

This horizontal bar chart displays birth rate (per 1,000 people) by capital city using the aggregation average, weighted by population in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

This horizontal bar chart displays GDP (current US$) by capital city using the aggregation sum in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

This horizontal bar chart displays agricultural land (km²) by capital city using the aggregation sum in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

Latvian Restaurant Market Outlook

According to our latest research, the Global Latvian Restaurant market size was valued at $1.2 billion in 2024 and is projected to reach $2.3 billion by 2033, expanding at a robust CAGR of 7.1% during 2024–2033. The primary growth driver for the Latvian Restaurant market globally is the rising consumer interest in Baltic and Eastern European cuisines, fueled by increased travel, cultural exchange, and the growing appetite for authentic and unique dining experiences. As global palates become more adventurous, the demand for both traditional and contemporary Latvian culinary offerings is accelerating, positioning the Latvian Restaurant market as a dynamic and expanding segment within the broader food service industry.

Regional Outlook

Europe holds the largest share of the Latvian Restaurant market, accounting for nearly 55% of global revenue in 2024. This dominance is attributed to the maturity of the restaurant industry across major European cities, where Latvian cuisine enjoys strong recognition among both locals and tourists. Key markets such as the United Kingdom, Germany, and the Nordic countries have seen significant growth in the number of Latvian dining establishments, thanks to supportive policies that encourage culinary diversity and cross-border entrepreneurship. Furthermore, the presence of a sizable Latvian diaspora in these regions has fostered a robust demand for authentic dining experiences, leading to steady market expansion and innovation in menu offerings.

The Asia Pacific region is expected to be the fastest-growing market for Latvian restaurants, with a projected CAGR of 9.6% from 2024 to 2033. This rapid growth is driven by increasing urbanization, the proliferation of international food culture, and rising disposable incomes in major metropolitan areas such as Tokyo, Shanghai, and Singapore. Investment in the hospitality sector, coupled with a surge in food tourism and the popularity of Baltic food festivals, has accelerated the adoption of Latvian cuisine in this region. Strategic partnerships between local restaurateurs and Latvian chefs are also contributing to the introduction of innovative fusion menus, further enhancing the appeal and accessibility of Latvian food to a diverse clientele.

Emerging economies in Latin America and the Middle East & Africa are witnessing gradual adoption of Latvian restaurants, albeit at a slower pace due to unique market challenges. In these regions, the growth of the Latvian Restaurant market is hampered by limited awareness, high import costs for authentic ingredients, and regulatory hurdles related to food safety and business licensing. However, localized demand is steadily rising, particularly in cosmopolitan cities with vibrant expatriate communities and a growing interest in international cuisines. Policy reforms aimed at boosting tourism and the hospitality sector are expected to create new opportunities for market entry and expansion in these untapped regions over the forecast period.

Report Scope

Abstract

The first Household Budget Survey in Latvia took place in 1926-1927, the second in 1936-1937. In the post-war period Family Budget Survey was started in 1952 within the system of the former Central Statistical Board of the USSR. This survey continued also during first independence years of Latvia, after the Soviet Union collapsed. The new Household Budget Survey was introduced in September 1995. Since 1995, Latvia Household Budget Survey has been conducted annually. The annual household sample is evenly distributed over time (the same number of households participates in the survey within each of the 52 weeks of the year). The Household Budget Survey provides information on qualitative and quantitative indicators of standards of livings in Latvia. The survey gathers data on the structure of households, their revenue and consumer expenditures, employment of the household members, living conditions, possession of consumer durables, access to health care, culture, education, as well as subjective assessments of the households' level of welfare. Data is collected through face-to-face interviews and household expenditure diaries.

Geographic coverage

National

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey community of the HBS consists of all households in Latvia. Persons living in the institutional households (elderly people boarding house, disabled children boarding house, student hostels, barracks, hospitals, sanatoriums, penal institutions, etc.) are excluded from the current survey.

Sample Size and Sample Rotation The 1997 sample was based on the 1996 sample. The total annual sample size of the HBS in 1996 was equal to approximately 7992 households (666 per month with a complete monthly renewal until December 1996). From there, half of the every month sample of the year 1996 was used as a panel in the sample of the corresponding month for the next 3 year period including 1997. The monthly sample size for 1996 was distributed across the major strata in the following way: 222 HHs in Riga; 116 in 6 other largest cities; 90 in middle-sized towns (over 7,000 inhabitants); 33 in small towns; 205 HHs in the rural areas. A sample for HBS has been selected separately for the following domains; - Riga and 6 large cities; - Middle and small towns, and - Rural areas. The allocation of the sample (distribution of the sampling community) between towns and countryside as well as among 5 large regions of Latvia (Kurzeme, Zemgale, Vidzeme, Latgale and Riga region) is described in Table 1 of the Individual Data sets User Manual attached as External Resources.

Stratification In the urban areas, the population register was used for the preparation of the sample. The 6 administrative districts of the capital Riga and each of the the 6 other largest towns of Latvia (Daugavpils, Jelgava, Jurmala, Liepaja, Rezekne, Ventspils) form separate 12 strata. Simple random sampling of persons (of age 15 years and more) is made within each stratum. The sample was allocated among strata proportionally to the population size. All other towns of Latvia are distributed between 10 strata according to their size (more than 7000 inhabitants or less than or equal to 7000 inhabitants) and their location (5 geographical regions). Two stage stratified random sampling is used to obtain the sample. The PSU are towns of strata and the selection of PSU is made with probabilities proportional to the total number of inhabitants in the PSU. At the second stage simple random sampling of persons (of age 15 years and more) is made within each selected PSU.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three types of questionnaires have been prepared for the survey: 1. Household Questionnaire 2. Household Diary 3. Report on Non-Response

Using these survey documents it is planned to obtain the information during the whole period of the survey, which according to this model will last at least 4 years. The Household Interview Questionnaire is filled by the interviewer, but the Household Diary is filled by the household itself two times for half a month. This combination of interviewing and self registering is approved as acceptable for similar surveys in the developed countries.

In order to obtain the full amount of information envisaged by the survey program, the interviewer shall visit the household several times. The number of such visits is not limited to only these three: - Preliminary interview - Replacement of the first diary for the second - Final interview

Actually the interviewer must visit the household in between the above mentioned visits, in order to ascertain on the manner the household fills in the diary, whether it needs any assistance and additional explanations. It is rather often that reports are not made on a sufficiently regular basis, and additional inquiry on purchases made in between the visits, should be made by ourselves in the diary. Such assistance fairly often is necessary to the older people, as well as those with poor eye-sight and other restrictions as to their activities.

Cleaning operations

Data entry and primary data control is performed at the supervisor's office which is located in the administrative region of the state statistical office. For this purpose each supervisor has a PC with a printer. This equipment provides all data entry procedures and print-outs of all errors and logical misappropriations discovered during the data entry. The operator will perform entry in the supervision areas with a larger number of interviewers (at least 5), where as the supervisor himself will perform the said function in the areas with smaller number of interviewers.The only exception is Riga, where data entry is organized with the help of professional data entry operators. Data are entered and examined at the location in 15 areas with the DOS program system 'ARIEL-DE'.

Control (discovery) and correction of the mistakes in HBS questionnaires and huoseholds' diaries is dome with the data entry program. The following operations takes place during the data entry: 1. Entry of the data indicators; 2. Double launching of the control program, which ensures the control of the correctness of the data entered. The control program looks for 'true' mistakes as well as for 'possible' mistakes in the questionnaires.

When the data completeness and correctness control program was developed, a set of events was placed into a memory of computer (those included instructions relating to the coding of data and a list of codes). Data that did not correspond to these conditions was regarded as a 'real' or 'true' mistake. Each mistake or mismatch of the logical type that was found was shown in form of a warning on the screen and simultaneously printed. Thus the supervisor had a way to monitor how the warnings were attended to or ignored by the data entry operator.

In the ASCII file each household has its own file which contained information on all documents of the survey (household interview, household diary or report on non-response). After completion of data entry and correction of discovered mistakes, the set of data were copied to diskettes and on the respective date of the month, then sent over electronic cable, using special communication channels of the Post of Latvia to the file server of the unit of the survey data processing. Household data files from regions were combined monthly in the "theme" ASCII - in files with the utility program from the "ARIEL-DE" system and package of statistic program "SPSS for Windows 6.1.3".

Response rate

Non-response and Replacement Procedure

In a multi-functional survey as a HBS, it is exceptionally significant to receive from the households included in the sampling lists as exhaustive responses to the questions included in the survey program as possible. In the case if households refuse to participate in the survey or respond to the questions of the survey, or they are not to be found at the address given, it may materially affect precision of acquired results. In order to curb the effects of refusal or other non-response factors and maintain the amount of acquired information, a sequential sampling approach is used. The non-respondent households are replaced by others from the reserve list. The latter being surveyed in place of the non-respondents. According to the survey procedure, households for replacement are taken in strict order. Considering that the reserve list has been made on a random selective basis, then the household replaced by the household from the reserve list has the same probability of being selected.

For this reason the supervisor of the rural field-work has two sampling lists at his disposal: Basic list - this is the sampling list with household addresses to be surveyed during a month's time. This list is given to both supervisor and interviewer each month a new one.The total number of households on the list is 666. Reserve list - this list is given to the supervisor only. The reserve list contains households in random order. This list is used by the decision of the supervisor only in cases when some of the households which are sampled do not participate in the survey. Upon necessity the supervisor assigns a household, keeping strictly to the sequence of the listed households. The reserve list is used until all households included are being surveyed. Afterwards the supervisor receives the next reserve list.

According to the regulations of the survey the term for replacement of the household is limited. The latest possible date is the 5th day of the survey month. In case the interviewer fails to replace a

This horizontal bar chart displays self-employed workers (% of total employment) by capital city using the aggregation average in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

Abstract

The main purpose of the data collection is to address and analyze issues related to total income, expenditure and consumption levels and structures of both households and the main socio-economic groups. The Household Budget Survey (HBS) provides a source of information on qualitative and quantitative indicators of standard of livings in Latvia. The household is the basic unit of the survey. It is defined as a person or group of persons tied by relationship or other personal relations, having common subsistence expenditures and inhabiting the same living unit (house, flat, etc.), maintenance of which is covered by such persons jointly.

The survey comprises information on the structure of the households, their revenue and consumer expenditures, employment of the household members, living conditions, possession of consumer durables, access to health care, culture, education, as well as subjective assessments of the households' level of welfare.

The HBS data will allow us to address the following issues: - Information on income and consumption, characteristics of consumption in relation to different social layers, number of household members, children etc.; - Information for calculation of consumer price index; - Linkages between different components of material welfare, e.g., revenue and living area conditions, revenue and access to consumer durable in households, etc.; - Information for various statistical purposes, e.g., for calculation of gross domestic product for the national account statistics; - Level of consumption of food products, components of nutritive and calorie consumption in different groups of households; - Indicators of poverty, to investigate the spread of poverty into different layers of society.

In the context of the envisaged reform of the social security system, the survey shall enable monitoring and evaluation of social policies with respect to: - Improvement of social aid to different socially vulnerable groups - Reform of social security system; - Poverty problems in the state.

The survey is multi-functional. This means, that even during the preparatory phase of the survey the scope of issues included can be changed or amplified if necessary by adding or substituting relevant sets of the survey. The HBS is organized with the expectation that the results will be used by a wide spectrum of users. The CSB will publish the data of the survey in the form of tables, and prepare analytical reports and statistical bulletins. It is foreseen to make the basic data files available on magnetic information carriers to a range of users. These microfiles will contain the basic data of the survey on a quarterly basis, having discarded any identification signs that would allow the identification of individual households.

Sampling procedure

Sampling Frame The target population of the HBS consists of all households in Latvia. Persons living in institutional households (elderly people boarding house, disabled children boarding house, student hostels, hotels, barracks, hospitals, sanatoriums, penal institutions, etc.) and homeless people are excluded from the current survey. During the preparation stage of the survey it was decided to use the population register formed in the early 90s. At the beginning of 1995, it included more than 99% of the Latvian population. In the pre-pilot survey in 1995 we found out that due to the different mistakes in the population register, several households were not found in the given addresses. Almost 10% of the entries of the register were outdated. Some respondents were dead. Other deficiencies were found with the addresses, physically non-existing addresses were also ascertained as well as other mistakes with the register. One should admit that the usage of the population register to form the sample of HBS makes the data processing procedures more difficult. However, in towns the population register was the only available register which allowed to create the HBS sample. It could mean that the principal survey should consider non-response, the amount of which could seriously impair the representativeness of the survey. Alternatives for the sampling frame were, therefore, sought out. One of the alternatives turned out to be the complete list of households of the local governments -- the civil parish. Of 32 parishes included in the first phase of HBS, 11 parishes already had a full list of households due to a previous agricultural survey. Therefore, it was necessary to prepare the identical lists only for the remaining 21 parishes.

Sample Size and Sample Rotation The total annual sample size of the new HBS is equal to approximately 7992 households (666 per month with a complete monthly renewal till December 1996). Half of the monthly samples of the 1996 will form a panel in the sample of the corresponding months during the coming 3 years. Samples for the HBS have been selected separately for the following domains: • Riga and 6 large cities; • middle and small towns, and • rural areas.

The monthly sample size is distributed across the major strata in the following way: 222 households in Riga; 116 in the six other large cities; 90 in middle-sized towns (over 7,000 inhabitants); 33 in small towns; 205 households in rural areas. In Riga, the large cities and the middle and small towns, the population register was used to create the sample. In the rural areas, however, the list of parishes and list of households in the parish was used. It is necessary to rememeber that the sampling procedures are different in different territories, therefore the probability for an individual household to be included in the survey should be calculated differently in different territories. The allocation of the sample (distribution of the sampling community) between towns and countryside as well as among 5 large regions of Latvia (Kurzeme, Zemgale, Vidzeme, Latgale and Riga region) is described inTable 1 on page 15 of the user manual.

Sample Design (Rural and Urban Areas) Rural Areas In order to obtain the sample in rural areas, a two-stage stratified random sampling of households is applied. The administrations of the parishes provided the data. There were 59 parishes, where the number of households was less than 300. 54 of them were added to the neighboring parish. Therefore, 47 primary sampling units (PSU) consist of 2 or 3 parishes. All other 419 parishes form separate PSU. The total number of PSU in rural areas equals 466. These PSU are distributed among 5 strata (geographical regions of Latvia) according to their location. This is shown in table 2. At the first stage, the PSU were selected within each stratum with probabilities proportional to the number of households of PSU. The total number of selected PSU is 29 and 3 of them consist of 2 parishes each. For all of the 32 parishes selected , a complete list of households was prepared. These lists of households are used to obtain the sample of households at the second stage.

Urban Areas The Population Register is used to obtain the sample of households in urban areas. The 6 administrative districts of the capital Riga and each of the 6 other large towns of Latvia (Daugavpils, Jelgava, Jsrmala, Liepâja, Rèzekne, Ventspils) form 12 separate strata. Simple random sampling of persons (of age 15 years and more) is applied within each stratum. The sample size per strata is proportional to the population size. All other towns of Latvia are distributed into 10 strata according to their size (more than 7000 inhabitants or less than or equal to 7000 inhabitants) and their location (5 geographical regions). Two stage stratified random sampling is used to obtain the sample. The PSU are the towns of strata and the selection of PSU is conditional to the probabilities proportional to the total number of inhabitants in PSU. At the second stage simple random sampling of persons (of age 15 years and more) is applied within each selected PSU. In urban areas the households of the sampled persons are surveyed. The total number of PSU per strata, and the number of PSU included in the HBS in each strata are shown in tables 3 and 4.

Non Response and Replacenment Procedure In a multi-functional survey as the HBS, it is exceptionally important to receive responses as complete as possible. Households that refuse to participate in the survey or respond to the questions of the survey, or households that are not found at the given address, may have an impact on the precision of the acquired results that should not be neglected. In order to limit the effects of non-response or refusal on the survey results, a sequential sampling approach is applied. A refusing or non-responding household is replaced by another from a reserve list and surveyed. According to the survey procedure, households for replacement are taken in strict order. Considering that the reserve list has been made on a random selection basis, the households from the reserve list have the same probability of being selected. For this reason the supervisor of the field-work has two sampling lists at his disposal: i) basic list: Sampling list with household addresses to be surveyed during a month's time. Every month, a new list is given to both supervisor and interviewer. The total number of households equals 666; ii) reserve list: This list is given to supervisors only. The reserve list contains households in random order. This list is used upon the decision of the supervisor in the case that a sampled household does not participate in the survey. Then, the supervisor assigns a new household, keeping strictly to the sequence of the list. The reserve list is used until all households included are being surveyed. Afterwards the supervisor receives the next reserve list. According to the regulations of the survey, the term for replacement of the household is limited. The latest possible date

This horizontal bar chart displays nitrous oxide emissions (Mt of CO2 equivalent) by capital city using the aggregation sum in Latvia. The data is filtered where the date is 2021. The data is about countries per year.

LV：最大城市人口在12-01-2017达639,982.000人，相较于12-01-2016的642,888.000人有所下降。LV：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751,246.000人，共58份观测结果。该数据的历史最高值出现于12-01-1989，达909,181.000人，而历史最低值则出现于12-01-1960，为597,367.000人。CEIC提供的LV：最大城市人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的拉脱维亚 – 表 LV.世行.WDI：人口和城市化进程统计。