Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Yolo County, CA
Series ID MHICILBCA06113A052NCEN
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 2:33 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 25577
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30262
1994-01-01 .
1995-01-01 32628
1996-01-01 .
1997-01-01 35732
1998-01-01 38192
1999-01-01 37908
2000-01-01 39646
2001-01-01 39107
2002-01-01 39614
2003-01-01 40979
2004-01-01 42111
2005-01-01 47442
2006-01-01 47198
2007-01-01 52476
2008-01-01 54437
2009-01-01 53225
2010-01-01 51139
2011-01-01 47576
2012-01-01 48446
2013-01-01 51068
2014-01-01 51187
2015-01-01 55330
2016-01-01 60181
2017-01-01 60238
2018-01-01 63826
2019-01-01 67005
2020-01-01 75183
2021-01-01 71083
2022-01-01 76999
2023-01-01 86864

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