Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, FL
Series ID MHICIUBFL12013A052NCEN
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 1:11 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 19902
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23671
1994-01-01 .
1995-01-01 27119
1996-01-01 .
1997-01-01 28486
1998-01-01 29515
1999-01-01 28230
2000-01-01 29197
2001-01-01 28215
2002-01-01 28114
2003-01-01 28424
2004-01-01 29389
2005-01-01 30850
2006-01-01 34247
2007-01-01 30487
2008-01-01 36817
2009-01-01 36286
2010-01-01 37251
2011-01-01 35583
2012-01-01 36539
2013-01-01 36948
2014-01-01 38667
2015-01-01 39576
2016-01-01 40327
2017-01-01 41645
2018-01-01 42229
2019-01-01 46184
2020-01-01 50253
2021-01-01 48548
2022-01-01 52655

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