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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Deuel County, SD
Series ID MHICIUBSD46039A052NCEN
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 7:03 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 21216
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24951
1994-01-01 .
1995-01-01 28123
1996-01-01 .
1997-01-01 31955
1998-01-01 35127
1999-01-01 35150
2000-01-01 37200
2001-01-01 37022
2002-01-01 37029
2003-01-01 39502
2004-01-01 40424
2005-01-01 42974
2006-01-01 43456
2007-01-01 44657
2008-01-01 49107
2009-01-01 47691
2010-01-01 49154
2011-01-01 49464
2012-01-01 53511
2013-01-01 56304
2014-01-01 56056
2015-01-01 59470
2016-01-01 58691
2017-01-01 60757
2018-01-01 61088
2019-01-01 70326
2020-01-01 66541
2021-01-01 70528
2022-01-01 81588
2023-01-01 74859
2024-01-01 90045

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