Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lowndes County, MS
Series ID MHICIUBMS28087A052NCEN
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 1:52 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 24198
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28455
1994-01-01 .
1995-01-01 31109
1996-01-01 .
1997-01-01 33153
1998-01-01 34192
1999-01-01 33191
2000-01-01 35048
2001-01-01 33863
2002-01-01 33599
2003-01-01 33983
2004-01-01 34764
2005-01-01 37122
2006-01-01 40970
2007-01-01 37100
2008-01-01 38895
2009-01-01 39445
2010-01-01 38652
2011-01-01 41436
2012-01-01 40196
2013-01-01 41952
2014-01-01 42609
2015-01-01 45504
2016-01-01 47312
2017-01-01 45379
2018-01-01 48435
2019-01-01 53467
2020-01-01 53581
2021-01-01 54148
2022-01-01 53821

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