Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Issaquena County, MS
Series ID MHICILBMS28055A052NCEN
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 1:54 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 12360
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 13673
1994-01-01 .
1995-01-01 11768
1996-01-01 .
1997-01-01 16105
1998-01-01 17571
1999-01-01 18540
2000-01-01 18534
2001-01-01 18120
2002-01-01 16347
2003-01-01 18331
2004-01-01 19360
2005-01-01 20454
2006-01-01 19100
2007-01-01 22201
2008-01-01 23779
2009-01-01 22338
2010-01-01 24455
2011-01-01 24859
2012-01-01 26007
2013-01-01 28152
2014-01-01 34040
2015-01-01 25796
2016-01-01 24031
2017-01-01 24873
2018-01-01 23881
2019-01-01 27091
2020-01-01 27467
2021-01-01 25092
2022-01-01 32145

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