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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Osceola County, IA
Series ID MHICILBIA19143A052NCEN
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 22231
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25126
1994-01-01 .
1995-01-01 27655
1996-01-01 .
1997-01-01 31687
1998-01-01 32444
1999-01-01 32906
2000-01-01 34106
2001-01-01 33698
2002-01-01 33018
2003-01-01 33459
2004-01-01 37255
2005-01-01 35461
2006-01-01 36657
2007-01-01 36570
2008-01-01 39463
2009-01-01 38431
2010-01-01 47398
2011-01-01 44393
2012-01-01 42379
2013-01-01 46130
2014-01-01 46116
2015-01-01 49187
2016-01-01 50326
2017-01-01 51316
2018-01-01 55939
2019-01-01 54120
2020-01-01 54950
2021-01-01 57089
2022-01-01 56964
2023-01-01 64363
2024-01-01 65012

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