Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Union County, IA
Series ID MHICIUBIA19175A052NCEN
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 1:53 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 24528
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27641
1994-01-01 .
1995-01-01 29819
1996-01-01 .
1997-01-01 33009
1998-01-01 34691
1999-01-01 34067
2000-01-01 36073
2001-01-01 34692
2002-01-01 35112
2003-01-01 34988
2004-01-01 37751
2005-01-01 40179
2006-01-01 38981
2007-01-01 44169
2008-01-01 44057
2009-01-01 44904
2010-01-01 43776
2011-01-01 43720
2012-01-01 45448
2013-01-01 47251
2014-01-01 47969
2015-01-01 49357
2016-01-01 51974
2017-01-01 51763
2018-01-01 54160
2019-01-01 58610
2020-01-01 55628
2021-01-01 61686
2022-01-01 61034

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