Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, MS
Series ID MHICILBMS28037A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:01 AM 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 13881
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15335
1994-01-01 .
1995-01-01 17078
1996-01-01 .
1997-01-01 19573
1998-01-01 21231
1999-01-01 23266
2000-01-01 23868
2001-01-01 23345
2002-01-01 23483
2003-01-01 24657
2004-01-01 26141
2005-01-01 27107
2006-01-01 26909
2007-01-01 28185
2008-01-01 29125
2009-01-01 28844
2010-01-01 29393
2011-01-01 30478
2012-01-01 28582
2013-01-01 32719
2014-01-01 32912
2015-01-01 32680
2016-01-01 33611
2017-01-01 34196
2018-01-01 35301
2019-01-01 36718
2020-01-01 34873
2021-01-01 38124
2022-01-01 41619
2023-01-01 41815

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