Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Solano County, CA
Series ID MHICILBCA06095A052NCEN
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 33407
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39121
1994-01-01 .
1995-01-01 42525
1996-01-01 .
1997-01-01 43212
1998-01-01 45070
1999-01-01 46677
2000-01-01 50268
2001-01-01 50402
2002-01-01 51805
2003-01-01 53258
2004-01-01 54334
2005-01-01 59473
2006-01-01 60183
2007-01-01 64710
2008-01-01 68159
2009-01-01 61959
2010-01-01 60252
2011-01-01 60115
2012-01-01 60301
2013-01-01 60444
2014-01-01 63857
2015-01-01 64618
2016-01-01 70308
2017-01-01 71905
2018-01-01 79560
2019-01-01 82408
2020-01-01 79211
2021-01-01 84016
2022-01-01 89373
2023-01-01 95455

Subscribe to the FRED newsletter


Follow us

Back to Top