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About the data

On this page: The areas on the map · Health · Children’s teeth · Income, poverty, race and age · Voters · Lines and outlines · Numbers in the address report that are not on the map · Methods of data collection · Address search and privacy · A caution about reading maps like this

Sources last reviewed September 21, 2026.

The areas on the map

Health

Adults told they have diabetes, by zip code Estimate

What does this data tell us?
The share of adults 18 and older who say a doctor has told them they have diabetes.
Who collected this data?
UCLA Center for Health Policy Research, from the California Health Interview Survey, “Neighborhood Edition.” The survey phones and mails tens of thousands of Californians each year. AskCHIS Neighborhood Edition. Downloaded September 2026.
When was this data published?
2022.
Note:
People who have diabetes but have not been diagnosed are not counted, so the true number of people is likely even higher.

Adults with diabetes, by neighborhood Estimate

What does this data tell us?
The share of adults who have been diagnosed with diabetes, for each neighborhood.
Who collected this data?
U.S. Centers for Disease Control and Prevention (CDC), a project called PLACES, built from a national phone survey. Downloaded August 2026.
When was this data published?
2023.
Note:
This and the UCLA zip code number measure nearly the same thing but come from different surveys, so they will not match exactly.

Adults who drink a sugary drink every day Estimate

What does this data tell us?
The share of adults 18 and older who drink one or more sodas or other sweetened drinks a day.
Who collected this data?
UCLA, same survey as above.
When was this data published?
2022.
Note:
It covers adults only. People tend to under-report what they drink.

Adults with heart disease, by neighborhood Estimate

What does this data tell us?
The share of adults who have been told by a doctor they have coronary heart disease or angina (the kind of heart disease that causes heart attacks).
Who collected this data?
CDC PLACES, same as the neighborhood diabetes number. Downloaded September 2026.
When was this data published?
2023.
Note:
Heart disease is much more common in older people, so neighborhoods with more seniors tend to be higher.

Deaths from heart disease, by neighborhood Counted

What does this data tell us?
For every 100,000 people, how many died of heart disease in a year, adjusted for age so that neighborhoods with more older people can be compared fairly.
Who collected this data?
Santa Clara County Public Health Department, from death certificates (“Heart Disease Deaths” on the county’s open data site). Downloaded September 2026.
When was this data published?
2011–2020, all ten years combined into one number.
Note:
The county used the neighborhood lines from 2010. Where the Census Bureau later split a neighborhood in two, both halves show the number for the old, larger neighborhood. A few neighborhoods have no number because the county hides it when 1 to 10 deaths occurred, to protect privacy.

Children’s teeth

Kindergartners with tooth decay Counted

What does this data tell us?
Of the kindergartners who had a dental check, the share who had tooth decay or fillings (dentists call this “caries experience”).
Who collected this data?
California requires a dental check when a child starts school. School districts report the results to the state. The district results shown here were published by the California Dental Association. Downloaded September 2026.
When was this data published?
2019–20 school year where a district reported that year, otherwise 2020–21. No district results have been published since. The county as a whole was 18% in 2019–20 and 37% in 2023–24.
Note:
Only children who turned in the dental form are counted, and that can be well under all kindergartners. For five districts no usable result was published (they either did not report or reported numbers that cannot be used); they are shown in gray: Franklin-McKinley, Mt. Pleasant, Orchard, Union and Los Gatos Union. There is no tooth decay data for areas smaller than a school district.

Income, poverty, race and age

All layers in these groups Survey

What does this data tell us?
Median household income: the middle household: half earn more, half earn less. Living in poverty: below the federal poverty line, which is about $32,000 a year for a family of four and does not adjust for Bay Area costs. Race and ethnicity: how residents described themselves. Latino residents can be of any race; the other groups count non-Latino residents. Median age: half of residents are older, half younger.
Who collected this data?
U.S. Census Bureau, American Community Survey, downloaded September 2026 through Census Reporter.
When was this data published?
2020–2024: five years of survey answers combined, which makes small-area numbers steadier. The neighborhood, San Jose and county figures all come from this same release.
Note:
In a neighborhood of 4,000 people only a few hundred are surveyed, so small differences between neighborhoods may not be so different in reality.

Voters

Registered voters and turnout, by election precinct Counted

What does this data tell us?
Registered voters: people registered to vote in that precinct for the November 5, 2024 general election. Voted: how many of them cast a ballot. Turnout: voted divided by registered.
Who collected this data?
Santa Clara County Registrar of Voters, official Statement of Vote, as published by precinct by the Statewide Database at UC Berkeley, which also provides the precinct lines. Downloaded September 2026.
When was this data published?
November 2024 general election (results certified December 2024).
Note:
The council district and San Jose totals are the precincts added together: 353 precincts, 543,014 registered voters, 379,305 voted (70% turnout). A precinct counts as San Jose when most of it lies inside the city limits; a few precincts at the edge also take in a small unincorporated area. Precincts with fewer than 20 registered voters are shown in gray on the turnout map.

Adults 18 and over, by neighborhood Counted

What does this data tell us?
Everyone 18 and older who lives in the neighborhood, citizens or not.
Who collected this data?
U.S. Census Bureau, 2020 Census (redistricting data, table P3), from data.census.gov. Downloaded September 2026.
When was this data published?
2020 Census.
Note:
The Census does not count people by election precinct, so adults are shown by neighborhood and for San Jose as a whole (799,477 adults). About 68% of San Jose adults were registered to vote in November 2024. Not every adult can register: some are not citizens.

Lines and outlines

Priority neighborhoods
“Equity Priority Communities” named by the Metropolitan Transportation Commission, the Bay Area’s regional planning agency, in Plan Bay Area 2050 (MTC open data). A neighborhood makes the list when it has high shares of people with low incomes and people of color, or of several other groups such as seniors, people with disabilities and people with limited English. Based on Census surveys from 2014–2018.
Zip code lines
Santa Clara County Public Health Department’s zip code map, trimmed to the San Jose city limits.
Council districts and city limits
City of San José open data. Councilmember names and phone numbers come from the same file and may lag behind after an election.
Census tract lines
U.S. Census Bureau, 2020 census tracts, trimmed to the San Jose city limits. These are the “neighborhoods” used for the neighborhood numbers.
School district lines
California Department of Education, 2025–26 school year.

Numbers in the address report that are not on the map

Methods of Data Collection

Each source uses one of the following data collection methods:

Address search and privacy

When you look up an address, it is sent to the U.S. Census Bureau’s free address finder to get its spot on the map. If that fails, it is sent to OpenStreetMap’s address finder instead. Nothing you type is saved by this tool.

A caution about reading maps like this

When two things are high in the same place (for example: sugary drink consumption and diabetes) the map shows they go together. It does not by itself prove one causes the other. Use the map to see where needs are greatest.