Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dewey County, SD
Series ID MHICIUBSD46041A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 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 20080
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22035
1994-01-01 .
1995-01-01 23482
1996-01-01 .
1997-01-01 25125
1998-01-01 25673
1999-01-01 25057
2000-01-01 26863
2001-01-01 25761
2002-01-01 26001
2003-01-01 28146
2004-01-01 30154
2005-01-01 32363
2006-01-01 30751
2007-01-01 32274
2008-01-01 34914
2009-01-01 32924
2010-01-01 34401
2011-01-01 37288
2012-01-01 37149
2013-01-01 37777
2014-01-01 38373
2015-01-01 41856
2016-01-01 41836
2017-01-01 41231
2018-01-01 45629
2019-01-01 50229
2020-01-01 45605
2021-01-01 49983
2022-01-01 55929

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