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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sac County, IA
Series ID MHICILBIA19161A052NCEN
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 19553
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24291
1994-01-01 .
1995-01-01 24439
1996-01-01 .
1997-01-01 29508
1998-01-01 29579
1999-01-01 30585
2000-01-01 31618
2001-01-01 31989
2002-01-01 32496
2003-01-01 32783
2004-01-01 36538
2005-01-01 34442
2006-01-01 34827
2007-01-01 35834
2008-01-01 37918
2009-01-01 39960
2010-01-01 40151
2011-01-01 46320
2012-01-01 43029
2013-01-01 47631
2014-01-01 47176
2015-01-01 48168
2016-01-01 50575
2017-01-01 50691
2018-01-01 51494
2019-01-01 55042
2020-01-01 47400
2021-01-01 60670
2022-01-01 66186
2023-01-01 65200
2024-01-01 65347

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