Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, CO
Series ID MHICIUBCO08121A052NCEN
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 3:12 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 26761
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29544
1994-01-01 .
1995-01-01 30101
1996-01-01 .
1997-01-01 33030
1998-01-01 34498
1999-01-01 34480
2000-01-01 35948
2001-01-01 35571
2002-01-01 32684
2003-01-01 33254
2004-01-01 34713
2005-01-01 41423
2006-01-01 36930
2007-01-01 41673
2008-01-01 42490
2009-01-01 44455
2010-01-01 44552
2011-01-01 47138
2012-01-01 47399
2013-01-01 49812
2014-01-01 50361
2015-01-01 52422
2016-01-01 50968
2017-01-01 53217
2018-01-01 52217
2019-01-01 58777
2020-01-01 62964
2021-01-01 64123
2022-01-01 66339
2023-01-01 60865

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