Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rankin County, MS
Series ID MHICILBMS28121A052NCEN
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 2:33 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 26975
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32845
1994-01-01 .
1995-01-01 36799
1996-01-01 .
1997-01-01 38619
1998-01-01 39575
1999-01-01 40550
2000-01-01 41891
2001-01-01 41416
2002-01-01 42075
2003-01-01 43866
2004-01-01 44740
2005-01-01 46770
2006-01-01 47537
2007-01-01 49035
2008-01-01 53168
2009-01-01 50008
2010-01-01 48011
2011-01-01 56992
2012-01-01 53050
2013-01-01 52198
2014-01-01 54744
2015-01-01 54517
2016-01-01 59020
2017-01-01 61158
2018-01-01 63379
2019-01-01 63695
2020-01-01 60998
2021-01-01 66771
2022-01-01 68627
2023-01-01 66638

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