About this dataset

Context

The dataset presents the median household income across different racial categories in San Marino. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of San Marino population by race & ethnicity, the population is predominantly Asian. This particular racial category constitutes the majority, accounting for 68.91% of the total residents in San Marino. Notably, the median household income for Asian households is $210,069. Interestingly, Asian is both the largest group and the one with the highest median household income, which stands at $210,069.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in San Marino.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

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 San Marino median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of San Marino by race. It includes the distribution of the Non-Hispanic population of San Marino across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of San Marino across relevant racial categories.

Key observations

Of the Non-Hispanic population in San Marino, the largest racial group is Asian alone with a population of 8,462 (74.25% of the total Non-Hispanic population).

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the San Marino
• Population: The population of the racial category (for Non-Hispanic) in the San Marino is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Marino total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 San Marino Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual asian student percentage from 1991 to 2023 for San Marino High School vs. California and San Marino Unified School District

This dataset tracks annual asian student percentage from 1991 to 2023 for San Marino Elementary School vs. California and Centralia Elementary School District

San Marino Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at -2.933 USD mn in 2017. This records a decrease from the previous number of -0.637 USD mn for 2016. San Marino Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated yearly, averaging -1.785 USD mn from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of -0.637 USD mn in 2016 and a record low of -2.933 USD mn in 2017. San Marino Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s San Marino – Table SM.IMF.DOT: Trade Balance: by Country: Annual.

San Marino Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data was reported at 0.005 USD mn in 2017. This records an increase from the previous number of 0.000 USD mn for 2016. San Marino Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data is updated yearly, averaging 0.003 USD mn from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 0.005 USD mn in 2017 and a record low of 0.000 USD mn in 2016. San Marino Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s San Marino – Table SM.IMF.DOT: Trade Balance: by Country: Annual.

This dataset tracks annual asian student percentage from 1991 to 2023 for Huntington Middle School vs. California and San Marino Unified School District

This dataset tracks annual asian student percentage from 1991 to 2023 for Carver Elementary School vs. California and San Marino Unified School District

About this dataset

Context

The dataset tabulates the population of San Marino by race. It includes the population of San Marino across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of San Marino across relevant racial categories.

Key observations

The percent distribution of San Marino population by race (across all racial categories recognized by the U.S. Census Bureau): 23.01% are white, 0.33% are Black or African American, 0.08% are American Indian and Alaska Native, 68.91% are Asian, 0.13% are Native Hawaiian and other Pacific Islander, 1.05% are some other race and 6.48% are multiracial.

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the San Marino
• Population: The population of the racial category (excluding ethnicity) in the San Marino is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Marino total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 San Marino Population by Race & Ethnicity. You can refer the same here

This dataset tracks annual asian student percentage from 1991 to 2023 for Valentine Elementary School vs. California and San Marino Unified School District

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in San Marino. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In San Marino, the median household income for the households where the householder is White increased by $1,497(0.84%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $177,253 in 2013 and $178,750 in 2023.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

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

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in San Marino.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 San Marino median household income by race. You can refer the same here

In 2025, Moscow was the largest city in Europe with an estimated urban agglomeration of 12.74 million people. The French capital, Paris, was the second largest city in 2025 at 11.35 million, followed by the capitals of the United Kingdom and Spain, with London at 9.84 million and Madrid at 6.81 million people. Istanbul, which would otherwise be the largest city in Europe in 2025, is excluded as it is only partially in Europe, with a sizeable part of its population living in Asia. Europe’s population is almost 750 million Since 1950, the population of Europe has increased by approximately 200 million people, increasing from 550 million to 750 million in these seventy years. Before the turn of the millennium, Europe was the second-most populated continent, before it was overtaken by Africa, which saw its population increase from 228 million in 1950 to 817 million by 2000. Asia has consistently had the largest population of the world’s continents and was estimated to have a population of 4.6 billion. Europe’s largest countries Including its territory in Asia, Russia is by far the largest country in the world, with a territory of around 17 million square kilometers, almost double that of the next largest country, Canada. Within Europe, Russia also has the continent's largest population at 145 million, followed by Germany at 83 million and the United Kingdom at almost 68 million. By contrast, Europe is also home to various micro-states such as San Marino, which has a population of just 30 thousand.

San Marino Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at 5.892 USD mn in 2017. This records an increase from the previous number of 1.596 USD mn for 2016. San Marino Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated yearly, averaging 3.744 USD mn from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 5.892 USD mn in 2017 and a record low of 1.596 USD mn in 2016. San Marino Imports: cif: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s San Marino – Table SM.IMF.DOT: Imports: cif: by Country: Annual.

In 2024, Russia had the largest population among European countries at ***** million people. The next largest countries in terms of their population size were Turkey at **** million, Germany at **** million, the United Kingdom at **** million, and France at **** million. Europe is also home to some of the world’s smallest countries, such as the microstates of Liechtenstein and San Marino, with populations of ****** and ****** respectively. Europe’s largest economies Germany was Europe’s largest economy in 2023, with a Gross Domestic Product of around *** trillion Euros, while the UK and France are the second and third largest economies, at *** trillion and *** trillion euros respectively. Prior to the mid-2000s, Europe’s fourth-largest economy, Italy, had an economy that was of a similar sized to France and the UK, before diverging growth patterns saw the UK and France become far larger economies than Italy. Moscow and Istanbul the megacities of Europe Two cities on the eastern borders of Europe were Europe’s largest in 2023. The Turkish city of Istanbul, with a population of 15.8 million, and the Russian capital, Moscow, with a population of 12.7 million. Istanbul is arguably the world’s most famous transcontinental city with territory in both Europe and Asia and has been an important center for commerce and culture for over 2,000 years. Paris was the third largest European city with a population of ** million, with London being the fourth largest at *** million.

San Marino Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data was reported at 2.958 USD mn in 2017. This records an increase from the previous number of 0.959 USD mn for 2016. San Marino Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data is updated yearly, averaging 1.959 USD mn from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 2.958 USD mn in 2017 and a record low of 0.959 USD mn in 2016. San Marino Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s San Marino – Table SM.IMF.DOT: Exports: fob: by Country: Annual.

San Marino Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data was reported at 0.001 USD mn in Aug 2017. This records a decrease from the previous number of 0.002 USD mn for Jun 2017. San Marino Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data is updated monthly, averaging 0.001 USD mn from Aug 2016 (Median) to Aug 2017, with 6 observations. The data reached an all-time high of 0.002 USD mn in Jun 2017 and a record low of 0.000 USD mn in Jan 2017. San Marino Exports: fob: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Macao data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s San Marino – Table SM.IMF.DOT: Exports: fob: by Country: Monthly.

圣马力诺 Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland在2017达-2.933 美元 百万，相较于2016的-0.637 美元 百万有所下降。圣马力诺 Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland数据按每年更新，2016至2017期间平均值为-1.785 美元 百万，共2份观测结果。该数据的历史最高值出现于2016，达-0.637 美元 百万，而历史最低值则出现于2017，为-2.933 美元 百万。CEIC提供的圣马力诺 Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland数据处于定期更新的状态，数据来源于International Monetary Fund，数据归类于Global Database的圣马力诺 – Table SM.IMF.DOT: Trade Balance: by Country: Annual。

SM: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland在2018-03达0.489 美元 百万，相较于2017-12的-1.066 美元 百万有所增长。SM: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland数据按季度更新，2016-12至2018-03期间平均值为-0.651 美元 百万，共6份观测结果。该数据的历史最高值出现于2018-03，达0.489 美元 百万，而历史最低值则出现于2017-12，为-1.066 美元 百万。CEIC提供的SM: Trade Balance: Emerging and Developing Economies: Emerging and Developing Asia: China, People Republic: Mainland数据处于定期更新的状态，数据来源于International Monetary Fund，数据归类于Global Database的圣马力诺 – Table SM.IMF.DOT: Trade Balance: by Country: Quarterly。