Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Newton County, MS
Series ID MHICIUBMS28101A052NCEN
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 20706
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24006
1994-01-01 .
1995-01-01 27959
1996-01-01 .
1997-01-01 28686
1998-01-01 30383
1999-01-01 30179
2000-01-01 32299
2001-01-01 30595
2002-01-01 30646
2003-01-01 32007
2004-01-01 32991
2005-01-01 34503
2006-01-01 34530
2007-01-01 38293
2008-01-01 37849
2009-01-01 37545
2010-01-01 37273
2011-01-01 37342
2012-01-01 36082
2013-01-01 39618
2014-01-01 38607
2015-01-01 40702
2016-01-01 41242
2017-01-01 44262
2018-01-01 45125
2019-01-01 47293
2020-01-01 55123
2021-01-01 50826
2022-01-01 52809

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