Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Saratoga County, NY
Series ID MHICILBNY36091A052NCEN
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 33231
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38634
1994-01-01 .
1995-01-01 40895
1996-01-01 .
1997-01-01 43328
1998-01-01 45434
1999-01-01 45337
2000-01-01 47577
2001-01-01 47945
2002-01-01 49124
2003-01-01 50580
2004-01-01 52399
2005-01-01 55150
2006-01-01 55394
2007-01-01 60237
2008-01-01 61111
2009-01-01 63210
2010-01-01 62510
2011-01-01 61716
2012-01-01 64014
2013-01-01 66489
2014-01-01 68553
2015-01-01 71412
2016-01-01 72860
2017-01-01 78959
2018-01-01 79497
2019-01-01 85298
2020-01-01 79507
2021-01-01 82443
2022-01-01 88716

Subscribe to the FRED newsletter


Follow us

Back to Top