Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hand County, SD
Series ID MHICILBSD46059A052NCEN
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 18504
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24013
1994-01-01 .
1995-01-01 22307
1996-01-01 .
1997-01-01 25490
1998-01-01 26455
1999-01-01 29984
2000-01-01 31925
2001-01-01 31331
2002-01-01 28019
2003-01-01 31089
2004-01-01 34043
2005-01-01 33726
2006-01-01 34625
2007-01-01 36470
2008-01-01 39756
2009-01-01 38475
2010-01-01 39546
2011-01-01 38472
2012-01-01 45990
2013-01-01 45685
2014-01-01 45889
2015-01-01 47755
2016-01-01 46979
2017-01-01 45613
2018-01-01 47082
2019-01-01 49463
2020-01-01 50669
2021-01-01 56794
2022-01-01 56479

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