Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bennett County, SD
Series ID MHICILBSD46007A052NCEN
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 1:53 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 14509
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17727
1994-01-01 .
1995-01-01 18348
1996-01-01 .
1997-01-01 19140
1998-01-01 19449
1999-01-01 22748
2000-01-01 24239
2001-01-01 23562
2002-01-01 21809
2003-01-01 24301
2004-01-01 24133
2005-01-01 29104
2006-01-01 27917
2007-01-01 27953
2008-01-01 27764
2009-01-01 28780
2010-01-01 28186
2011-01-01 28507
2012-01-01 30556
2013-01-01 32019
2014-01-01 30850
2015-01-01 37573
2016-01-01 30405
2017-01-01 31971
2018-01-01 33220
2019-01-01 31904
2020-01-01 40073
2021-01-01 36431
2022-01-01 43719

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