Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pike County, MS
Series ID MHICIUBMS28113A052NCEN
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 17715
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19394
1994-01-01 .
1995-01-01 23543
1996-01-01 .
1997-01-01 24709
1998-01-01 26446
1999-01-01 25837
2000-01-01 27397
2001-01-01 26347
2002-01-01 26225
2003-01-01 27150
2004-01-01 27877
2005-01-01 28964
2006-01-01 29044
2007-01-01 29011
2008-01-01 33460
2009-01-01 33806
2010-01-01 32119
2011-01-01 33851
2012-01-01 34540
2013-01-01 33501
2014-01-01 33161
2015-01-01 34427
2016-01-01 35272
2017-01-01 36019
2018-01-01 37632
2019-01-01 38957
2020-01-01 41153
2021-01-01 42974
2022-01-01 45049
2023-01-01 46585

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