Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mitchell County, IA
Series ID MHICILBIA19131A052NCEN
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 1:12 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 23581
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27785
1994-01-01 .
1995-01-01 29751
1996-01-01 .
1997-01-01 32543
1998-01-01 33014
1999-01-01 33303
2000-01-01 34059
2001-01-01 33861
2002-01-01 34279
2003-01-01 34766
2004-01-01 38576
2005-01-01 37902
2006-01-01 38313
2007-01-01 39639
2008-01-01 42648
2009-01-01 42528
2010-01-01 43356
2011-01-01 42178
2012-01-01 46116
2013-01-01 48042
2014-01-01 47682
2015-01-01 57922
2016-01-01 49676
2017-01-01 49892
2018-01-01 53802
2019-01-01 55554
2020-01-01 57611
2021-01-01 55561
2022-01-01 58187

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