Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calaveras County, CA
Series ID MHICILBCA06009A052NCEN
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 24764
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27864
1994-01-01 .
1995-01-01 29594
1996-01-01 .
1997-01-01 31483
1998-01-01 34180
1999-01-01 36465
2000-01-01 38419
2001-01-01 38093
2002-01-01 39633
2003-01-01 40734
2004-01-01 43115
2005-01-01 44088
2006-01-01 49033
2007-01-01 46821
2008-01-01 48169
2009-01-01 46919
2010-01-01 47183
2011-01-01 45986
2012-01-01 46767
2013-01-01 48423
2014-01-01 48734
2015-01-01 47918
2016-01-01 52273
2017-01-01 53252
2018-01-01 58166
2019-01-01 61762
2020-01-01 56704
2021-01-01 61082
2022-01-01 64882
2023-01-01 69437

Subscribe to the FRED newsletter


Follow us

Back to Top