Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Leake County, MS
Series ID MHICIUBMS28079A052NCEN
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 1:11 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 17071
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20290
1994-01-01 .
1995-01-01 24528
1996-01-01 .
1997-01-01 26491
1998-01-01 28638
1999-01-01 27744
2000-01-01 29338
2001-01-01 28483
2002-01-01 28277
2003-01-01 29459
2004-01-01 30635
2005-01-01 31040
2006-01-01 33643
2007-01-01 35452
2008-01-01 34322
2009-01-01 33502
2010-01-01 34419
2011-01-01 35803
2012-01-01 32757
2013-01-01 37051
2014-01-01 34512
2015-01-01 39156
2016-01-01 39476
2017-01-01 39633
2018-01-01 41137
2019-01-01 45629
2020-01-01 50124
2021-01-01 47244
2022-01-01 51725

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