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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dickinson County, IA
Series ID MHICIUBIA19059A052NCEN
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 7:06 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 28444
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32455
1994-01-01 .
1995-01-01 36853
1996-01-01 .
1997-01-01 39833
1998-01-01 40793
1999-01-01 42129
2000-01-01 44292
2001-01-01 43041
2002-01-01 43577
2003-01-01 44361
2004-01-01 46825
2005-01-01 48782
2006-01-01 49309
2007-01-01 50431
2008-01-01 54814
2009-01-01 53615
2010-01-01 53116
2011-01-01 56377
2012-01-01 56312
2013-01-01 62399
2014-01-01 60484
2015-01-01 62386
2016-01-01 63652
2017-01-01 62053
2018-01-01 60007
2019-01-01 73274
2020-01-01 76622
2021-01-01 74650
2022-01-01 83909
2023-01-01 88919
2024-01-01 94398

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