Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, MS
Series ID MHICIUBMS28013A052NCEN
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 19218
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22253
1994-01-01 .
1995-01-01 26371
1996-01-01 .
1997-01-01 28182
1998-01-01 29846
1999-01-01 28876
2000-01-01 30475
2001-01-01 29075
2002-01-01 28937
2003-01-01 29747
2004-01-01 30876
2005-01-01 28086
2006-01-01 32876
2007-01-01 31488
2008-01-01 33690
2009-01-01 32602
2010-01-01 33046
2011-01-01 35396
2012-01-01 34219
2013-01-01 35806
2014-01-01 36448
2015-01-01 37127
2016-01-01 37385
2017-01-01 39228
2018-01-01 42547
2019-01-01 42645
2020-01-01 48168
2021-01-01 42559
2022-01-01 49577
2023-01-01 52444

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