Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Decatur County, IA
Series ID MHICIUBIA19053A052NCEN
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 1:11 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 21090
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23975
1994-01-01 .
1995-01-01 25376
1996-01-01 .
1997-01-01 28669
1998-01-01 29182
1999-01-01 28882
2000-01-01 30713
2001-01-01 29710
2002-01-01 29534
2003-01-01 30078
2004-01-01 31139
2005-01-01 32496
2006-01-01 37447
2007-01-01 34841
2008-01-01 37311
2009-01-01 35208
2010-01-01 37488
2011-01-01 37123
2012-01-01 40164
2013-01-01 40425
2014-01-01 40582
2015-01-01 43249
2016-01-01 39929
2017-01-01 46004
2018-01-01 45389
2019-01-01 49559
2020-01-01 53263
2021-01-01 53879
2022-01-01 56967

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