Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Appanoose County, IA
Series ID MHICILBIA19007A052NCEN
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 16555
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19837
1994-01-01 .
1995-01-01 20862
1996-01-01 .
1997-01-01 23433
1998-01-01 25038
1999-01-01 26865
2000-01-01 27767
2001-01-01 27127
2002-01-01 27541
2003-01-01 28438
2004-01-01 30244
2005-01-01 29190
2006-01-01 30260
2007-01-01 30942
2008-01-01 31143
2009-01-01 30504
2010-01-01 32425
2011-01-01 33463
2012-01-01 35733
2013-01-01 34107
2014-01-01 37768
2015-01-01 38211
2016-01-01 35107
2017-01-01 38102
2018-01-01 39986
2019-01-01 37443
2020-01-01 43339
2021-01-01 46636
2022-01-01 47520

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