Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for McPherson County, SD
Series ID MHICIUBSD46089A052NCEN
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 2:31 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 20376
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23921
1994-01-01 .
1995-01-01 23643
1996-01-01 .
1997-01-01 27007
1998-01-01 28594
1999-01-01 26322
2000-01-01 27566
2001-01-01 26649
2002-01-01 25607
2003-01-01 27562
2004-01-01 29393
2005-01-01 29515
2006-01-01 30447
2007-01-01 32804
2008-01-01 34948
2009-01-01 34785
2010-01-01 39042
2011-01-01 38877
2012-01-01 41851
2013-01-01 42068
2014-01-01 42418
2015-01-01 47782
2016-01-01 45583
2017-01-01 45111
2018-01-01 44223
2019-01-01 48303
2020-01-01 50290
2021-01-01 55848
2022-01-01 59268
2023-01-01 62705

Subscribe to the FRED newsletter


Follow us

Back to Top