Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grenada County, MS
Series ID MHICIUBMS28043A052NCEN
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 22679
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25306
1994-01-01 .
1995-01-01 27861
1996-01-01 .
1997-01-01 29546
1998-01-01 31024
1999-01-01 29529
2000-01-01 30909
2001-01-01 29677
2002-01-01 30072
2003-01-01 31003
2004-01-01 31980
2005-01-01 32678
2006-01-01 33876
2007-01-01 34431
2008-01-01 36045
2009-01-01 35677
2010-01-01 35373
2011-01-01 35847
2012-01-01 35865
2013-01-01 34850
2014-01-01 36418
2015-01-01 38664
2016-01-01 41035
2017-01-01 42280
2018-01-01 43783
2019-01-01 43539
2020-01-01 49086
2021-01-01 43881
2022-01-01 52037

Subscribe to the FRED newsletter


Follow us

Back to Top