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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dickinson County, IA
Series ID MHICILBIA19059A052NCEN
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 23924
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27926
1994-01-01 .
1995-01-01 30688
1996-01-01 .
1997-01-01 33628
1998-01-01 34622
1999-01-01 36952
2000-01-01 38112
2001-01-01 37504
2002-01-01 37951
2003-01-01 39095
2004-01-01 41249
2005-01-01 41038
2006-01-01 41569
2007-01-01 45035
2008-01-01 45557
2009-01-01 46524
2010-01-01 45474
2011-01-01 49265
2012-01-01 47458
2013-01-01 54821
2014-01-01 52618
2015-01-01 51352
2016-01-01 52386
2017-01-01 50939
2018-01-01 51199
2019-01-01 59148
2020-01-01 58332
2021-01-01 61248
2022-01-01 66903
2023-01-01 72925
2024-01-01 77646

Back to Top