Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sheridan County, ND
Series ID MHICILBND38083A052NCEN
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 1:54 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 14248
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18896
1994-01-01 .
1995-01-01 18715
1996-01-01 .
1997-01-01 19888
1998-01-01 21060
1999-01-01 23004
2000-01-01 24236
2001-01-01 23634
2002-01-01 22518
2003-01-01 26214
2004-01-01 27585
2005-01-01 26663
2006-01-01 26056
2007-01-01 25665
2008-01-01 29258
2009-01-01 29722
2010-01-01 32414
2011-01-01 36999
2012-01-01 35709
2013-01-01 39781
2014-01-01 41395
2015-01-01 34909
2016-01-01 34823
2017-01-01 36414
2018-01-01 35164
2019-01-01 54879
2020-01-01 39290
2021-01-01 43346
2022-01-01 50095

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