Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Broward County, FL
Series ID MHICIUBFL12011A052NCEN
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 12:51 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 29211
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32965
1994-01-01 .
1995-01-01 35929
1996-01-01 .
1997-01-01 40045
1998-01-01 42839
1999-01-01 42486
2000-01-01 45148
2001-01-01 44655
2002-01-01 44849
2003-01-01 44851
2004-01-01 45345
2005-01-01 47311
2006-01-01 51164
2007-01-01 53653
2008-01-01 52379
2009-01-01 49702
2010-01-01 49117
2011-01-01 50047
2012-01-01 50506
2013-01-01 51089
2014-01-01 52446
2015-01-01 55018
2016-01-01 55542
2017-01-01 57922
2018-01-01 58543
2019-01-01 62475
2020-01-01 65786
2021-01-01 67203
2022-01-01 72644

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