Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mobile County, AL
Series ID MHICILBAL01097A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 19887
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23513
1994-01-01 .
1995-01-01 25135
1996-01-01 .
1997-01-01 27129
1998-01-01 28626
1999-01-01 30466
2000-01-01 32387
2001-01-01 31038
2002-01-01 30372
2003-01-01 30954
2004-01-01 31256
2005-01-01 34643
2006-01-01 36530
2007-01-01 36132
2008-01-01 39656
2009-01-01 38326
2010-01-01 38007
2011-01-01 40209
2012-01-01 37309
2013-01-01 40475
2014-01-01 40927
2015-01-01 40286
2016-01-01 43138
2017-01-01 42959
2018-01-01 41273
2019-01-01 47745
2020-01-01 48779
2021-01-01 47564
2022-01-01 52104
2023-01-01 52899

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