Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, IA
Series ID MHICILBIA19097A052NCEN
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 2:33 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 21646
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24995
1994-01-01 .
1995-01-01 25787
1996-01-01 .
1997-01-01 29107
1998-01-01 30491
1999-01-01 32231
2000-01-01 33450
2001-01-01 32972
2002-01-01 33518
2003-01-01 34406
2004-01-01 36224
2005-01-01 35994
2006-01-01 36318
2007-01-01 38701
2008-01-01 38425
2009-01-01 40806
2010-01-01 38736
2011-01-01 40642
2012-01-01 42093
2013-01-01 43134
2014-01-01 46993
2015-01-01 46055
2016-01-01 46417
2017-01-01 50020
2018-01-01 49004
2019-01-01 51866
2020-01-01 56357
2021-01-01 55214
2022-01-01 58683
2023-01-01 69898

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