Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Stanley County, SD
Series ID MHICIUBSD46117A052NCEN
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 2:01 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 26567
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32392
1994-01-01 .
1995-01-01 35637
1996-01-01 .
1997-01-01 36773
1998-01-01 39217
1999-01-01 42476
2000-01-01 46153
2001-01-01 46420
2002-01-01 44928
2003-01-01 47217
2004-01-01 49103
2005-01-01 50523
2006-01-01 51151
2007-01-01 53908
2008-01-01 57246
2009-01-01 56417
2010-01-01 55743
2011-01-01 59589
2012-01-01 59650
2013-01-01 62971
2014-01-01 70453
2015-01-01 67995
2016-01-01 72977
2017-01-01 73517
2018-01-01 77359
2019-01-01 78315
2020-01-01 84868
2021-01-01 82462
2022-01-01 91914
2023-01-01 92941

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