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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, IA
Series ID MHICILBIA19047A052NCEN
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 22203
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25332
1994-01-01 .
1995-01-01 27160
1996-01-01 .
1997-01-01 29451
1998-01-01 30010
1999-01-01 31385
2000-01-01 32831
2001-01-01 32866
2002-01-01 33449
2003-01-01 34306
2004-01-01 37048
2005-01-01 36721
2006-01-01 36335
2007-01-01 39019
2008-01-01 41082
2009-01-01 39032
2010-01-01 42056
2011-01-01 40628
2012-01-01 44378
2013-01-01 44377
2014-01-01 47182
2015-01-01 46772
2016-01-01 46175
2017-01-01 48582
2018-01-01 49332
2019-01-01 52047
2020-01-01 49375
2021-01-01 52657
2022-01-01 60106
2023-01-01 60806
2024-01-01 63817

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