Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Baltimore City, MD

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Baltimore City, MD
Series ID MHICIUBMD24510A052NCEN
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 2:31 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 23572
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27522
1994-01-01 .
1995-01-01 28571
1996-01-01 .
1997-01-01 30509
1998-01-01 31189
1999-01-01 30443
2000-01-01 31523
2001-01-01 30397
2002-01-01 30026
2003-01-01 30919
2004-01-01 31570
2005-01-01 34028
2006-01-01 36895
2007-01-01 37765
2008-01-01 41480
2009-01-01 39767
2010-01-01 39600
2011-01-01 40014
2012-01-01 40218
2013-01-01 43059
2014-01-01 43693
2015-01-01 44996
2016-01-01 48063
2017-01-01 48138
2018-01-01 51784
2019-01-01 51646
2020-01-01 54722
2021-01-01 55981
2022-01-01 57270
2023-01-01 61616

Subscribe to the FRED newsletter


Follow us

Back to Top