Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Todd County, SD
Series ID MHICIUBSD46121A052NCEN
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 16485
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18846
1994-01-01 .
1995-01-01 22325
1996-01-01 .
1997-01-01 21397
1998-01-01 22276
1999-01-01 20841
2000-01-01 22316
2001-01-01 21062
2002-01-01 21127
2003-01-01 22259
2004-01-01 23656
2005-01-01 24086
2006-01-01 25693
2007-01-01 26818
2008-01-01 30000
2009-01-01 27342
2010-01-01 28949
2011-01-01 29334
2012-01-01 31279
2013-01-01 32821
2014-01-01 30338
2015-01-01 32169
2016-01-01 32180
2017-01-01 32244
2018-01-01 35464
2019-01-01 38145
2020-01-01 35619
2021-01-01 40612
2022-01-01 47191

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