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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, IA
Series ID MHICILBIA19101A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 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 21364
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25123
1994-01-01 .
1995-01-01 26637
1996-01-01 .
1997-01-01 31077
1998-01-01 32956
1999-01-01 32171
2000-01-01 33194
2001-01-01 32926
2002-01-01 32045
2003-01-01 31708
2004-01-01 33105
2005-01-01 33105
2006-01-01 34553
2007-01-01 36360
2008-01-01 39366
2009-01-01 37693
2010-01-01 36544
2011-01-01 35708
2012-01-01 37252
2013-01-01 38102
2014-01-01 36776
2015-01-01 39104
2016-01-01 42138
2017-01-01 42964
2018-01-01 41672
2019-01-01 46451
2020-01-01 45077
2021-01-01 46619
2022-01-01 53077
2023-01-01 51615
2024-01-01 56775

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