NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Beaverhead County, MT Series ID: MHICILBMT30001A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 18894 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 23983 1994-01-01 . 1995-01-01 25843 1996-01-01 . 1997-01-01 26832 1998-01-01 26227 1999-01-01 27290 2000-01-01 28393 2001-01-01 28043 2002-01-01 28519 2003-01-01 29727 2004-01-01 31169 2005-01-01 30346 2006-01-01 31198 2007-01-01 34712 2008-01-01 35545 2009-01-01 33942 2010-01-01 32722 2011-01-01 35315 2012-01-01 34767 2013-01-01 36347 2014-01-01 37403 2015-01-01 37271 2016-01-01 36689 2017-01-01 52917 2018-01-01 42490 2019-01-01 44108 2020-01-01 44752 2021-01-01 48444 2022-01-01 53213