Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adair County, IA
Series ID MHICILBIA19001A052NCEN
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 2:33 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 20634
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24422
1994-01-01 .
1995-01-01 24714
1996-01-01 .
1997-01-01 29120
1998-01-01 30824
1999-01-01 32856
2000-01-01 34706
2001-01-01 34479
2002-01-01 35174
2003-01-01 36138
2004-01-01 38878
2005-01-01 36240
2006-01-01 36010
2007-01-01 41634
2008-01-01 40538
2009-01-01 43850
2010-01-01 41480
2011-01-01 41349
2012-01-01 42877
2013-01-01 43451
2014-01-01 44519
2015-01-01 46792
2016-01-01 48467
2017-01-01 47177
2018-01-01 48672
2019-01-01 51496
2020-01-01 48799
2021-01-01 54194
2022-01-01 59673
2023-01-01 59877

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