Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Iowa County, IA
Series ID MHICILBIA19095A052NCEN
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 25116
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30443
1994-01-01 .
1995-01-01 32328
1996-01-01 .
1997-01-01 36855
1998-01-01 38238
1999-01-01 39301
2000-01-01 40446
2001-01-01 40312
2002-01-01 40864
2003-01-01 41571
2004-01-01 44032
2005-01-01 43998
2006-01-01 46455
2007-01-01 48360
2008-01-01 49344
2009-01-01 47575
2010-01-01 47941
2011-01-01 48679
2012-01-01 50784
2013-01-01 53256
2014-01-01 52935
2015-01-01 59323
2016-01-01 52167
2017-01-01 57621
2018-01-01 57782
2019-01-01 60179
2020-01-01 59761
2021-01-01 59228
2022-01-01 64240

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