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90% Confidence Interval Upper Bound of Estimate of Median Household Income for Santa Clara County, CA (MHICIUBCA06085A052NCEN)

Observations

2023: 157,501
Updated: Dec 20, 2024 2:32 AM CST
2023:  157,501  
2022:  153,186  
2021:  143,490  
2020:  142,809  
2019:  135,527  

Units:

Dollars,
Not Seasonally Adjusted

Frequency:

Annual

Fullscreen

Notes

Title Release Dates
90% Confidence Interval Upper Bound of Estimate of Median Household Income for Santa Clara County, CA 2015-03-10 2024-12-17
 
Source    
U.S. Census Bureau 2015-03-10 2024-12-17
 
Release    
Small Area Income and Poverty Estimates 2015-03-10 2024-12-17
 
Units    
Dollars 2015-03-10 2024-12-17
 
Frequency    
Annual 2015-03-10 2024-12-17
 
Seasonal Adjustment    
Not Seasonally Adjusted 2015-03-10 2024-12-17
 
Notes    
For further information about this series go to https://www.census.gov/programs-surveys/saipe/about.html.

2015-03-10 2019-12-11
The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

2019-12-12 2024-12-17

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Santa Clara County, CA San Jose California Households Income Median Small Area Income & Poverty Estimates Census County or County Equivalent Annual Public Domain: Citation Requested United States of America Not Seasonally Adjusted