Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hancock County, MS
Series ID MHICIUBMS28045A052NCEN
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 1:11 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 23742
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27045
1994-01-01 .
1995-01-01 30485
1996-01-01 .
1997-01-01 32160
1998-01-01 34839
1999-01-01 35834
2000-01-01 38590
2001-01-01 37256
2002-01-01 37580
2003-01-01 38393
2004-01-01 38647
2005-01-01 40849
2006-01-01 42841
2007-01-01 41633
2008-01-01 47530
2009-01-01 45811
2010-01-01 45532
2011-01-01 43513
2012-01-01 44995
2013-01-01 47673
2014-01-01 49876
2015-01-01 50139
2016-01-01 49902
2017-01-01 49721
2018-01-01 53106
2019-01-01 55937
2020-01-01 62850
2021-01-01 60167
2022-01-01 65143

Subscribe to the FRED newsletter


Follow us

Back to Top