About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in China town. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in China town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in China town, the median household income stands at $103,427 for householders within the 25 to 44 years age group, followed by $97,207 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $56,250.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 China town median household income by age. You can refer the same here

The Chinatown Design Review Boundary as established by DCMR Title 10 Chapter 24. The purpose of Chinatown Design Review is to ensure the contribution of proposed buildings and public space projects to the Chinese identity of Chinatown.

This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/.

The Chinatown data problem is to predict week of the day based on the time series of pedestrian volumes.

The City of Melbourne, Australia has developed an automated pedestrian counting system to better understand pedestrian activity within the municipality, such as how people use different city locations at different time of the day. The data analysis can facility decision making and urban planning for the future. This data is from 10 locations for the whole year 2017.

Time series are pedestrian count in Chinatown-Swanston St (North for 12 months of the year 2017. Classes are based on whether data are from a normal day or a weekend day.

• Class 1: Weekend
• Class 2: Weekday

There is nothing to infer from the order of examples in the train and test set. Data source: City of Melbourne http://www.pedestrian.melbourne.vic.gov.au/#date=11-06-2018&time=4. Data edited by Hoang Anh Dau.

Donator: H.A. Dau

This dataset provides information about the number of properties, residents, and average property values for Chinatown Street cross streets in Las Vegas, NV.

About this dataset

Context

The dataset tabulates the China town Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of China town, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of China town.

Key observations

Among the Hispanic population in China town, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 65 (63.73% of the total 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.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the China town
• Population: The population of the specific origin for Hispanic or Latino population in the China town is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of China town total Hispanic or Latino 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 China town Population by Race & Ethnicity. You can refer the same here

Chinatown yönetmenliğini Roman Polanski nin yaptığı 1974 yılı yapımı bir ABD filmidir Jack Nicholson Faye Dunaway ve Joh

Abstract The article presented below aims to propose a reflection on the valuation of some spaces in the city that have a high intercultural load. Working on the definitions of some concepts from different disciplines and relating them directly to an example from the City of Buenos Aires, it is suggested to review the reading of the urban landscape production in spaces of cultural exchange, understanding that both the elements and the spaces produced and recreated from different cultures are visible expressions of the urban intangible heritage. From the example of the Chinatown of Buenos Aires, it is brought forward a reflection on the objectification of some cultural assets in the context of globalization, the use of identity based on the place branding of the city and its repercussions on the urban.

Sediment samples were collected from a bone bed and an outhouse at the Evanston Chinatown historic site (48UT1749) in southwest Wyoming. These samples were examined for evidence of pollen and starch granules that might identify both modern vegetation and food, for parasite eggs that might indicate parasite infestation, and for protein residues to identify possible animal proteins present in the sediments. The sample from an outhouse pit also was floated to recover macrofloral evidence of foods eaten by the privy users.

Combined statements of revenues, expenditures, and changes in fund balances for the year ending December 31, 2009.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Condominiums and cooperatives are valued as if they were residential rental apartments. Income information from similar rental properties is applied to determine value. The Department of Finance (DOF) chooses similar properties to value condos and coops. Properties are selected based on a combination of factors such as: land location, income levels, building age and construction and exemptions and subsidies.

As part of the Chinatown Planning Study (www.toronto.ca/chinatownstudy), extensive community consultation has been conducted over the past 1.5 years. To ensure transparency, accuracy and built relationship with community members, there was an understanding that the insights collected would be part of an open data sort. Definitions in the data are as follows: Issue code (primary): The primary issue code category that the insight/comment falls into, based on the definition list of issue codes. Issue code (secondary): A secondary issue code category that the insight/comment might fall into, based on the definition list of issue codes. Insights sometimes touch on more than one issue, but not insights necessarily have a secondary issue code. Sentiment code: The sentiment or tone underlying the insight: Positive: the insight was positive in tone Neutral: the insight was neutral in tone Negative: the insight was negative in tone Unsure: The insight was unclear in its tone Future concern: The insight expressed a concerned tone about something that may occur in the future Future hope: The insight expressed a hopeful tone about something that may occur in the future

Ten samples were selected from a collection of 145 samples recovered during archaeological salvage excavations of the Market Street Chinatown in downtown San Jose, California, from 1985-1986. These ten samples were analyzed for pollen, starches, parasites, phytoliths, and macrofloral remains as part of a pilot study in the “Archaeology of the Urban Environment in 19th Century San Jose.” Excavations revealed features such as trash pits, wood-lined cesspools, wells, and open-air dumps. Most of the features date to the Chinatown period (1862-1887), with a few dating to the Spanish-colonial/Mexican (1776-1848), early statehood (1849-1861), and turn-of-the century (1887-1920) periods (Voss 2011). The ten samples submitted for analysis represent two wood-lined trash pits or possible privies, three unlined trash pits, a wood-lined cistern, and an unlined pit containing pig bones. Pollen, starch, phytolith, and macrofloral analyses provide information concerning plant resources utilized by the Market Street Chinatown occupants, as well as trash deposited in the features and plants growing in the area during the time period represented. Of particular interest for this project is the degree to which the Chinese immigrants relied on Asian imports or adapted diet and medicinal practices to incorporate locally-available resources. Did the Chinese introduce Asian species to the San Jose region, and what were the environmental consequences? Were edible and medicinal plants grown in the urban neighborhood, or were resources obtained from external sources? Parasite analysis provides some insight into the intestinal health of the Chinatown residents.

About this dataset

Context

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

Key observations

Of the Non-Hispanic population in China town, the largest racial group is White alone with a population of 4,231 (96.75% 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 China town
• Population: The population of the racial category (for Non-Hispanic) in the China town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of China town 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 China town Population by Race & Ethnicity. You can refer the same here

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

About this dataset

Context

The dataset tabulates the China town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for China town. The dataset can be utilized to understand the population distribution of China town by age. For example, using this dataset, we can identify the largest age group in China town.

Key observations

The largest age group in China, Maine was for the group of age 55 to 59 years years with a population of 465 (10.39%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in China, Maine was the 85 years and over years with a population of 12 (0.27%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the China town is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of China town 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 China town Population by Age. You can refer the same here

This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: 'AAI' means the license was issued.

Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

Data Owner: Business Affairs and Consumer Protection

Time Period: Current

Frequency: Data is updated daily

This dataset is about news. It has 5 rows and is filtered where the keywords includes In Chinatown, San Francisco. It features 10 columns including source, publication date, section, and news link.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries