Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, MO
Series ID MHICIUBMO29221A052NCEN
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 1:52 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 21089
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22490
1994-01-01 .
1995-01-01 26412
1996-01-01 .
1997-01-01 27845
1998-01-01 28676
1999-01-01 28375
2000-01-01 29814
2001-01-01 28767
2002-01-01 28892
2003-01-01 30021
2004-01-01 31019
2005-01-01 33234
2006-01-01 34834
2007-01-01 36132
2008-01-01 34715
2009-01-01 35434
2010-01-01 35520
2011-01-01 33616
2012-01-01 36258
2013-01-01 36420
2014-01-01 37463
2015-01-01 40942
2016-01-01 39168
2017-01-01 41282
2018-01-01 42238
2019-01-01 45042
2020-01-01 48921
2021-01-01 49258
2022-01-01 52404

Subscribe to the FRED newsletter


Follow us

Back to Top