Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Stone County, MS
Series ID MHICILBMS28131A052NCEN
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 16535
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19620
1994-01-01 .
1995-01-01 22280
1996-01-01 .
1997-01-01 22325
1998-01-01 23607
1999-01-01 27138
2000-01-01 28030
2001-01-01 27442
2002-01-01 27953
2003-01-01 30130
2004-01-01 31190
2005-01-01 31135
2006-01-01 32116
2007-01-01 36224
2008-01-01 35922
2009-01-01 34385
2010-01-01 34637
2011-01-01 35553
2012-01-01 37961
2013-01-01 36588
2014-01-01 37241
2015-01-01 38190
2016-01-01 37391
2017-01-01 39379
2018-01-01 39934
2019-01-01 41496
2020-01-01 44267
2021-01-01 45266
2022-01-01 48097
2023-01-01 50221

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