Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for DeSoto County, MS
Series ID MHICIUBMS28033A052NCEN
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 3:11 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 32843
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38494
1994-01-01 .
1995-01-01 44215
1996-01-01 .
1997-01-01 46369
1998-01-01 48315
1999-01-01 50179
2000-01-01 53236
2001-01-01 52506
2002-01-01 53496
2003-01-01 55357
2004-01-01 56493
2005-01-01 54961
2006-01-01 55574
2007-01-01 61282
2008-01-01 63468
2009-01-01 57381
2010-01-01 62502
2011-01-01 57168
2012-01-01 57705
2013-01-01 61580
2014-01-01 61417
2015-01-01 63206
2016-01-01 68090
2017-01-01 70854
2018-01-01 71562
2019-01-01 72125
2020-01-01 73148
2021-01-01 79101
2022-01-01 83663
2023-01-01 86723

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