Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jones County, MS
Series ID MHICILBMS28067A052NCEN
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 17551
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19462
1994-01-01 .
1995-01-01 21654
1996-01-01 .
1997-01-01 23582
1998-01-01 25180
1999-01-01 26558
2000-01-01 27254
2001-01-01 26639
2002-01-01 26636
2003-01-01 27533
2004-01-01 28306
2005-01-01 28706
2006-01-01 29985
2007-01-01 31976
2008-01-01 33077
2009-01-01 31517
2010-01-01 33515
2011-01-01 33973
2012-01-01 32732
2013-01-01 32987
2014-01-01 33881
2015-01-01 33265
2016-01-01 36622
2017-01-01 36851
2018-01-01 38160
2019-01-01 37276
2020-01-01 43771
2021-01-01 39461
2022-01-01 55592

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