Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, SD
Series ID MHICILBSD46071A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 17084
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18989
1994-01-01 .
1995-01-01 19354
1996-01-01 .
1997-01-01 20597
1998-01-01 19047
1999-01-01 22081
2000-01-01 23201
2001-01-01 22370
2002-01-01 20903
2003-01-01 21874
2004-01-01 22860
2005-01-01 23021
2006-01-01 24001
2007-01-01 24681
2008-01-01 25263
2009-01-01 27299
2010-01-01 27584
2011-01-01 28626
2012-01-01 36260
2013-01-01 32041
2014-01-01 28664
2015-01-01 32590
2016-01-01 30190
2017-01-01 28429
2018-01-01 30665
2019-01-01 33575
2020-01-01 30995
2021-01-01 34641
2022-01-01 39399
2023-01-01 41659

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