Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hanson County, SD
Series ID MHICILBSD46061A052NCEN
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 16814
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23954
1994-01-01 .
1995-01-01 24544
1996-01-01 .
1997-01-01 30603
1998-01-01 31865
1999-01-01 32840
2000-01-01 33951
2001-01-01 33937
2002-01-01 33570
2003-01-01 37000
2004-01-01 41604
2005-01-01 38430
2006-01-01 41936
2007-01-01 42016
2008-01-01 45807
2009-01-01 47863
2010-01-01 49243
2011-01-01 51835
2012-01-01 54102
2013-01-01 52146
2014-01-01 55975
2015-01-01 54554
2016-01-01 54962
2017-01-01 57764
2018-01-01 57221
2019-01-01 73518
2020-01-01 52711
2021-01-01 72724
2022-01-01 70373

Subscribe to the FRED newsletter


Follow us

Back to Top