Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dixie County, FL
Series ID MHICILBFL12029A052NCEN
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 1:12 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 12344
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14705
1994-01-01 .
1995-01-01 17242
1996-01-01 .
1997-01-01 18800
1998-01-01 20692
1999-01-01 23531
2000-01-01 24433
2001-01-01 23627
2002-01-01 24531
2003-01-01 24243
2004-01-01 25276
2005-01-01 25570
2006-01-01 26421
2007-01-01 27854
2008-01-01 28333
2009-01-01 27649
2010-01-01 28393
2011-01-01 27630
2012-01-01 29210
2013-01-01 29086
2014-01-01 28954
2015-01-01 33165
2016-01-01 30483
2017-01-01 34823
2018-01-01 33487
2019-01-01 35243
2020-01-01 36686
2021-01-01 34990
2022-01-01 35757

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