Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Broward County, FL
Series ID MHICILBFL12011A052NCEN
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 26009
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29553
1994-01-01 .
1995-01-01 31850
1996-01-01 .
1997-01-01 35607
1998-01-01 38327
1999-01-01 38280
2000-01-01 40366
2001-01-01 40091
2002-01-01 40268
2003-01-01 40601
2004-01-01 41036
2005-01-01 45925
2006-01-01 49633
2007-01-01 51355
2008-01-01 50809
2009-01-01 47842
2010-01-01 46717
2011-01-01 46909
2012-01-01 48622
2013-01-01 49597
2014-01-01 50524
2015-01-01 52230
2016-01-01 52568
2017-01-01 55482
2018-01-01 55857
2019-01-01 60383
2020-01-01 62016
2021-01-01 63869
2022-01-01 69024

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