Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jasper County, SC
Series ID MHICIUBSC45053A052NCEN
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 1:09 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 19816
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22994
1994-01-01 .
1995-01-01 26723
1996-01-01 .
1997-01-01 28260
1998-01-01 29457
1999-01-01 29945
2000-01-01 31839
2001-01-01 30284
2002-01-01 29438
2003-01-01 30680
2004-01-01 31835
2005-01-01 35687
2006-01-01 37748
2007-01-01 40125
2008-01-01 42434
2009-01-01 38698
2010-01-01 38703
2011-01-01 38268
2012-01-01 38271
2013-01-01 38071
2014-01-01 40409
2015-01-01 40437
2016-01-01 45368
2017-01-01 44445
2018-01-01 47595
2019-01-01 55278
2020-01-01 55430
2021-01-01 59737
2022-01-01 67085

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