Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Steele County, MN
Series ID MHICIUBMN27147A052NCEN
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 32315
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38507
1994-01-01 .
1995-01-01 42886
1996-01-01 .
1997-01-01 46744
1998-01-01 48243
1999-01-01 48996
2000-01-01 51677
2001-01-01 50762
2002-01-01 51402
2003-01-01 51893
2004-01-01 54409
2005-01-01 55410
2006-01-01 55500
2007-01-01 57087
2008-01-01 59567
2009-01-01 62632
2010-01-01 53940
2011-01-01 58276
2012-01-01 60578
2013-01-01 57380
2014-01-01 63179
2015-01-01 64833
2016-01-01 64079
2017-01-01 64447
2018-01-01 71265
2019-01-01 74441
2020-01-01 80100
2021-01-01 76742
2022-01-01 83910
2023-01-01 84330

Subscribe to the FRED newsletter


Follow us

Back to Top