Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jerauld County, SD
Series ID MHICIUBSD46073A052NCEN
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 22472
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27566
1994-01-01 .
1995-01-01 27873
1996-01-01 .
1997-01-01 31166
1998-01-01 32595
1999-01-01 32329
2000-01-01 34746
2001-01-01 33816
2002-01-01 32475
2003-01-01 34705
2004-01-01 36124
2005-01-01 35969
2006-01-01 38014
2007-01-01 39544
2008-01-01 42990
2009-01-01 43935
2010-01-01 41380
2011-01-01 51221
2012-01-01 49880
2013-01-01 51865
2014-01-01 53891
2015-01-01 54076
2016-01-01 52393
2017-01-01 49229
2018-01-01 52866
2019-01-01 58441
2020-01-01 56152
2021-01-01 72210
2022-01-01 64776

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