Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Union County, IA
Series ID MHICILBIA19175A052NCEN
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 19990
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23102
1994-01-01 .
1995-01-01 23616
1996-01-01 .
1997-01-01 26831
1998-01-01 28588
1999-01-01 29913
2000-01-01 31061
2001-01-01 30262
2002-01-01 30610
2003-01-01 30820
2004-01-01 33263
2005-01-01 33652
2006-01-01 32992
2007-01-01 37238
2008-01-01 37246
2009-01-01 37431
2010-01-01 36178
2011-01-01 36124
2012-01-01 39412
2013-01-01 39463
2014-01-01 41841
2015-01-01 40663
2016-01-01 42870
2017-01-01 43865
2018-01-01 45614
2019-01-01 47218
2020-01-01 42096
2021-01-01 49710
2022-01-01 50590

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