Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Yolo County, CA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Yolo County, CA
Series ID MHICIUBCA06113A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:05 AM CST
Notes 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 (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.
DATE VALUE
1989-01-01 29972
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34668
1994-01-01 .
1995-01-01 38596
1996-01-01 .
1997-01-01 41753
1998-01-01 44130
1999-01-01 43101
2000-01-01 45925
2001-01-01 44789
2002-01-01 45407
2003-01-01 46413
2004-01-01 47682
2005-01-01 51314
2006-01-01 52856
2007-01-01 59499
2008-01-01 61317
2009-01-01 59015
2010-01-01 57727
2011-01-01 52772
2012-01-01 53634
2013-01-01 58954
2014-01-01 57831
2015-01-01 62202
2016-01-01 67109
2017-01-01 69562
2018-01-01 71782
2019-01-01 74897
2020-01-01 86153
2021-01-01 81411
2022-01-01 87719
2023-01-01 95520

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