Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wapello County, IA
Series ID MHICIUBIA19179A052NCEN
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 24618
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27780
1994-01-01 .
1995-01-01 30559
1996-01-01 .
1997-01-01 32844
1998-01-01 34469
1999-01-01 34173
2000-01-01 35668
2001-01-01 34487
2002-01-01 35038
2003-01-01 36695
2004-01-01 38353
2005-01-01 35727
2006-01-01 40771
2007-01-01 41767
2008-01-01 43038
2009-01-01 43174
2010-01-01 41624
2011-01-01 42746
2012-01-01 43867
2013-01-01 43914
2014-01-01 45650
2015-01-01 47990
2016-01-01 44552
2017-01-01 50385
2018-01-01 52657
2019-01-01 55094
2020-01-01 53617
2021-01-01 60642
2022-01-01 64301
2023-01-01 64364

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