Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, CO
Series ID MHICILBCO08121A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 22182
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24814
1994-01-01 .
1995-01-01 23839
1996-01-01 .
1997-01-01 26692
1998-01-01 28278
1999-01-01 30218
2000-01-01 30650
2001-01-01 30472
2002-01-01 27682
2003-01-01 28966
2004-01-01 30136
2005-01-01 38135
2006-01-01 31300
2007-01-01 34626
2008-01-01 35473
2009-01-01 37102
2010-01-01 37276
2011-01-01 39728
2012-01-01 39493
2013-01-01 41332
2014-01-01 41207
2015-01-01 42762
2016-01-01 41640
2017-01-01 43433
2018-01-01 43521
2019-01-01 47749
2020-01-01 55384
2021-01-01 50921
2022-01-01 56645

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