About this dataset

Context

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

Key observations

The percent distribution of San Jose population by race (across all racial categories recognized by the U.S. Census Bureau): 85.60% are white, 3.31% are Asian and 11.09% 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 Jose
• Population: The population of the racial category (excluding ethnicity) in the San Jose is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Jose 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 Jose Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in San Jose: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 10,379(3.16%) households where the householder is under 25 years old, 120,200(36.56%) households with a householder aged between 25 and 44 years, 125,563(38.19%) households with a householder aged between 45 and 64 years, and 72,617(22.09%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of San Jose, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Jose median household income by age. You can refer the same here

This dataset contains Average Daily Traffic (ADT) counts collected for the City of San Jose for the previous 15 years and is updated on a yearly basis. This dataset can be read as follows: The count location is given as “Collected on ‘Street One’, ‘Direction’, ‘Street Two’, in a ‘Travel Direction.’” ADT values are then given as: ‘ADT One’ and ‘ADT Two’ which correspond to the ADT collected in the recorded travel directions. If the street is a one-way street, a travel direction of ‘one-way’ is recorded and ‘ADT One’ and ‘ADT Two’ are left blank. ‘ADT’ corresponds to the total ADT which is a sum of ‘ADT One’ and ‘ADT Two.’ Putting it all together gets the following: “A total ADT of 39, 057 was recorded on 9/26/2018 along Murphy Rd. east of Oakland Road. Travel flows along Murphy Rd. in an East/West direction with a corresponding ADT One of 21,444 and ADT Two of 17,613.” Note that only counts collected after January 2018 will have a travel direction and corresponding ADT One and ADT Two values listed.Data is published on Mondays on a weekly basis.

This demographics data package is part of a 3 layer set for Tracts, Block Groups, and Blocks across all of Santa Clara County. A field is present in each to allow filtering for the geometries that are only in The City of San Jose. Each of the data layers contains the most commonly requested demographic fields from the U.S. Census/American Community Survey. Please note these fields are not exactly the same as found in the census tables, the goal was to standardize the field names so that they will always remain the same regardless of if the census changes the field names or range values. San Jose GIS Enterprise staff will update these fields once a year. Please check the field that states the last time it was updated and from what source. Please also note that Tracts has the most data fields, Block Groups slightly less, and Blocks has very few. The finer scaled geometries have less data available from the U.S. Census, so those fields were dropped.Source: American Community Survey (ACS) 2021 5-year estimatesData is updated annually.

City of San José is committed to an open, honest, and effective government and strives to consistently meet the community’s expectations for excellent services in a positive and timely manner, and in full view of the public. With the advancement in information technologies and the increasing ability to share data more easily across multiple platforms and online, appropriate leveraging of these tools to make information accessible and usable by the public can help improve public service delivery and fuel entrepreneurship and innovation. The Open Data Portal serves as means to implement the City’s Open Data Policy and Open Data Community Architecture which is intended to help the City better utilize its data. Open Data is an important component of this commitment; through making its data publicly available and easily accessible, the City will empower the community to engage with government on a new level and stimulate new ideas, new services, and new economic opportunities. In addition, Open Data will provide a new platform to increase the sharing of information among City departments, improving the City’s ability to deliver services to the community efficiently and effectively. To help achieve these outcomes. To get started please go to the OpenGov Open Data Training page.

This dataset provides information about the number of properties, residents, and average property values for Country View Court cross streets in San Jose, CA.

Historical dataset of population level and growth rate for the San Jose metro area from 1950 to 2025.

About this Dataset

A carefully curated list of “Marketing Agency" in San Jose (CA). We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. This is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Website - Contact no. & more

Category

Classroom Datasets

Keywords

San Jose Marketing Agency,San Jose Digital Marketing Agency,US Digital Marketing Agency,California Marketing Agency,California Digital Marketing Agency

Row Count

105

Price

$139.00

This dataset provides information about the number of properties, residents, and average property values for Country Leaf Court cross streets in San Jose, CA.

This dataset provides information about the number of properties, residents, and average property values for Country Oak Court cross streets in San Jose, CA.

About this Dataset

Carefully curated list of “Teacher / Instructor / Trainer" in San Jose (CA). We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. Which is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Contact no. & more

Category

Education

Keywords

San Jose Teacher,San Jose Trainer,San Jose Instructor,California Teacher,California Trainer

Row Count

214

Price

$149.00

About this Dataset

Carefully curated list of “Translator" in San Jose (CA). We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. Which is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Contact no. & more

Category

Lead Generation

Keywords

San Jose Translator,San Jose Language Translator,California Translator,California Language Translator,US Translator

Row Count

16

Price

$99.00

This dataset depicts estimated number of people residing in each grid cell in 2020. Full details on the methods and datasets used in constructing the data, along with open access publications, are provided on the WorldPop website. In brief, recent census-based population counts matched to their associated administrative units are disaggregated to ~100x100m grid cells through machine learning approaches that exploit the relationships between population densities and a range of geospatial covariate layers. The mapping approach is Random Forest-based dasymetric redistribution. Click here to download TIF version of layer

GCOOS 52North Sensor Observation Service This station provides the following variables: Air pressure, Air temperature, Sea surface height above sea level, Sea water temperature, Wind speed, Wind speed of gust, Wind to direction

About this Dataset

Carefully curated list of “Construction: Contractors, Plumbers, Architects, Civil engineers, etc” in San Jose (CA). We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. Which is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Contact no. & more

Category

Engineering

Keywords

San Jose Contractors,San Jose Architect,California Architect,California Contractors,US Contractors

Row Count

254

Price

$149.00

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in San Jose, CA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for San Jose, CA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of San Jose households based on income levels.

Key observations

• For Family Households: In San Jose, the majority of family households, representing 38.93%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.89%, have incomes falling $45,000 to $49,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In San Jose, the majority of non-family households, accounting for 18.99%, have income $200,000 or more, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 2.35%, earn $45,000 to $49,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in San Jose, CA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in San Jose, CA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in San Jose, CA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in San Jose, CA

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 Jose median household income. You can refer the same here

GCOOS 52North Sensor Observation Service This station provides the following variables: Air pressure, Sea surface height above sea level, Wind speed, Wind speed of gust, Wind to direction