Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lowndes County, MS
Series ID MHICILBMS28087A052NCEN
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 3:13 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 19669
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23913
1994-01-01 .
1995-01-01 24953
1996-01-01 .
1997-01-01 26966
1998-01-01 28101
1999-01-01 29115
2000-01-01 30140
2001-01-01 29477
2002-01-01 29259
2003-01-01 29943
2004-01-01 30628
2005-01-01 32032
2006-01-01 36196
2007-01-01 32933
2008-01-01 33242
2009-01-01 32842
2010-01-01 32896
2011-01-01 35774
2012-01-01 33056
2013-01-01 35726
2014-01-01 37265
2015-01-01 38256
2016-01-01 40972
2017-01-01 39175
2018-01-01 40261
2019-01-01 45035
2020-01-01 42139
2021-01-01 44024
2022-01-01 44867
2023-01-01 48481

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