Wikipedia:WikiProject National Register of Historic Places/Progress/History

This page is devoted to tracking the progress of WikiProject NRHP over time. Using the information from the Progress page itself, animated gifs of coverage have been generated and included herein. Data collected from the Progress page can also be used to produce graphs of historical progress of NRHP coverage. The data is gathered by a script, which you can install on your personal javascript if you wish to access the raw data directly. It can then be fed into a plotting program (e.g. gnuplot) to produce the graphs seen below. Minimal knowledge of gnuplot syntax is needed to produce these graphs, and obviously the installation itself is required. The gnuplot documentation is a good source to learn the syntax, although most of it will be unnecessary for the purposes of making these graphs, and gnuplot itself can be downloaded here.

Animated maps of WP:NRHP Progress

These show updates during 2013 to 2016.

Percent illustrated

Percent articled

Percent Start+

Net Quality Rating^†

How to produce your own line graphs

The raw data can be turned into a variety of different graphs which include a plethora of information. To produce a graph, copy the raw data into a file of your choosing (in Windows/Mac/Linux, simply pasting the data into a blank text file in Notepad/TextEdit/gedit and saving it will suffice) and choose which columns to graph based on the numbered columns in the data. You will also need to create a separate text file to run in gnuplot. The base template for these graphs is shown below with helpful comments to describe the function of each line and how it can be customized

set term svg size 1000,800 fname 'Verdana' fsize 12 # SVG with dimensions 1000x800 and 12pt Verdana font
set output '_MYTITLE_.svg'                          # Desired title of graph file
set xdata time                                      # This line and the next tell gnuplot
set timefmt "%Y%m%d"                                # we are plotting a graph over time
currentDate=strftime("%Y%m%d",time(0))              # get current date
set xtics "20130401",2*2592000,currentDate rotate   # Start at beginning of Progress page history and increment in two-month steps until current date
set yrange [_MIN_:_MAX_]                            # Set the min and max of the y-axis (e.g. for percent graphs, [0:100])
set title "_DISPLAYTITLE_"                          # Title to be shown on the graph
set key below                                       # Set location of key; see gnuplot documentation for more placement options
set multiplot
plot \                                              # Include a list of lines to display on graph below
    "_DATAFILE_.d" using 1:_COLUMN_ title "_KEYLABEL_" _GNUPLOTOPTIONS_, \
     .
     .
     .
    "_DATAFILE_.d" using 1:_COLUMN_ title "_KEYLABEL_" _GNUPLOTOPTIONS

The all caps keywords offset by underscores ("_") should be replaced with the relevant information, and multiple lines can be drawn on the same graph by adding extra lines where the vertical dots are. See the examples below for fully filled examples of this template.

Example graphs

National totals

The following code produces an svg file named "MyTitle.svg" which includes the graph shown to the right. The raw data has been stored in the file "ProgressHistory.d"

set term svg size 1000,800 fname 'Verdana' fsize 12
set output 'MyTitle.svg'
set xdata time
set timefmt "%Y%m%d"
currentDate=strftime("%Y%m%d",time(0))
set xtics "20130401",2*2592000,currentDate rotate
set yrange [0:95000]
set title "WP:NRHPPROGRESS Over Time"
set key below
set multiplot
plot \
    "ProgressHistory.d" using 1:2 title "Total" w lp lw 2, \
    "ProgressHistory.d" using 1:3 title "Illustrated" w lp lw 2, \
    "ProgressHistory.d" using 1:5 title "Articled" w lp lw 2, \
    "ProgressHistory.d" using 1:7 title "Stubs" w lp lw 2, \
    "ProgressHistory.d" using 1:8 title "NRIS-only" w lp lw 2, \
    "ProgressHistory.d" using 1:9 title "Start+" w lp lw 2, \
    "ProgressHistory.d" using 1:11 title "Unassessed" w lp lw 2, \
    "ProgressHistory.d" using 1:12 title "Untagged" w lp lw 2

National percent

The following code produces an svg file named "MyOtherTitle.svg" which includes the graph shown to the right. The raw data has been stored in the file "Total.d"

set term svg size 1000,800 fname 'Verdana' fsize 12
set output 'MyOtherTitle.svg'
set xdata time
set timefmt "%Y%m%d"
currentDate=strftime("%Y%m%d",time(0))
set xtics "20130401",2*2592000,currentDate rotate
set yrange [0:100]
set format y "%.0f%%"      # to make y-axis show "%"
set title "WP:NRHPPROGRESS Over Time – Percent"
set key below
set multiplot
plot \
    "Total.d" using 1:4 title "%Illustrated" w lp lw 2, \
    "Total.d" using 1:6 title "%Articled" w lp lw 2, \
    "Total.d" using 1:10 title "%Start+" w lp lw 2, \
    "Total.d" using 1:13 title "Net_Quality" w lp lw 2

Individual state progress

The following code produces an svg file named "Virginia.svg" which includes the graph shown to the right. The raw data has been stored in the file "Total.d"

set term svg size 1000,800 fname 'Verdana' fsize 12
set output 'Virginia.svg'
set xdata time
set timefmt "%Y%m%d"
currentDate=strftime("%Y%m%d",time(0))
set xtics "20130401",2*2592000,currentDate rotate
set yrange [0:100]
set format y "%.0f%%"      # to make y-axis show "%"
set title "WP:NRHPPROGRESS Over Time – Virginia"
set key below
set multiplot
plot \
    "Total.d" using 1:568 title "%Illustrated" w lp lw 2, \
    "Total.d" using 1:570 title "%Articled" w lp lw 2, \
    "Total.d" using 1:574 title "%Start+" w lp lw 2, \
    "Total.d" using 1:577 title "Net_Quality" w lp lw 2

FA, GA progress

The following code produces an svg file named "FAGAOverTimeTotal.svg" using the second box in the script output. The raw data has been stored in the file "FAGA.d"

set term svg size 1000,800 fname 'Verdana' fsize 12
set output 'Graphs/FAGAOverTimeTotal.svg'
set xdata time
set timefmt "%Y%m%d"
currentDate=strftime("%Y%m%d",time(0))
set xtics "20110801",3*2592000,currentDate rotate
set yrange [0:250]
set title "WP:NRHPPROGRESS Over Time - FA, GA Totals"
set key below
set multiplot
plot \
    "FAGA.d" using 1:2 title "FAs" w lp lw 2, \
    "FAGA.d" using 3:4 title "GAs" w lp lw 2

More complicated graphs

The data on the progress page only shows a total number of articles/images in each category for every update, but that does not mean the data extracted by the script is only limited to displaying these totals. If desired, these totals can be combined to make to make "effective" columns. The following code produces an svg file named "Massachusetts.svg" which includes the graph shown to the right. The raw data has been stored in the file "Total.d". The code calculates a ratio between the number of NRIS-only articles in MA and the total number to determine the percent of the sites in the state that have articles which are NRIS-only quality—something not directly shown on the Progress page—and plots this effective column along with the other standard ones.

set term svg size 1000,800 fname 'Verdana' fsize 12
set output 'Massachusetts.svg'
set xdata time
set timefmt "%Y%m%d"
currentDate=strftime("%Y%m%d",time(0))
set xtics "20130401",2*2592000,currentDate rotate
set yrange [0:100]
set format y "%.0f%%"      # to make y-axis show "%"
set title "WP:NRHPPROGRESS Over Time – Massachusetts"
set key below
set multiplot
plot \
    "Total.d" using 1:268 title "%Illustrated" w lp lw 2, \
    "Total.d" using 1:270 title "%Articled" w lp lw 2, \
    "Total.d" using 1:274 title "%Start+" w lp lw 2, \
    "Total.d" using 1:277 title "Net_Quality" w lp lw 2, \
    "Total.d" using 1:($272/$266*100) title "%NRIS-only" w lp lw 2

The following code goes one step further and uses a somewhat complicated numerical differentiation scheme to find the rate of national article creation, not just the total number for each date. Because the data is pretty noisy (updates are not at regular intervals), the code also produces a "smooth approximation" of the noisy data, which is a bit easier to read. The raw data is stored in the file "Total.d", and the graph is produced in the file "RateArticled.svg".

set term svg size 1000,800 fname 'Verdana' fsize 12
set output 'RateArticled.svg'
set xdata time
set timefmt "%Y%m%d"
currentDate=strftime("%Y%m%d",time(0))
set xtics "20130401",2*2592000,currentDate rotate
set yrange [0:30]
set title "WP:NRHPPROGRESS Over Time – Rate of article creation"
set ylabel "Articles/day"
set key below
x0=NaN
y0=NaN
yprev=NaN
set multiplot
plot \
    'Total.d' using 1:(dx=strptime("%Y%m%d",stringcolumn(1))-x0,x0=strptime("%Y%m%d",stringcolumn(1)),dy=$5-y0,y0=$5,yprev=(dx==0?yprev:dy/dx*86400),dx==0?yprev:dy/dx*86400) title "Actual" w lp lw 1 lc 2, \
    'Total.d' using 1:(dx=strptime("%Y%m%d",stringcolumn(1))-x0,x0=strptime("%Y%m%d",stringcolumn(1)),dy=$5-y0,y0=$5,yprev=(dx==0?yprev:dy/dx*86400),dx==0?yprev:dy/dx*86400) title "Smooth approximation" w lp lw 2 lc 1 smooth bezier

The same numerical differentiation scheme is used below to show the rate at which images have been uploaded. The graph is produced in the file "RateIllustrated.svg".

set term svg size 1000,800 fname 'Verdana' fsize 12
set output 'Graphs/RateIllustrated.svg'
set xdata time
set timefmt "%Y%m%d"
set title "WP:NRHPPROGRESS Over Time – Rate of image uploads"
currentDate=strftime("%Y%m%d",time(0))
set xtics "20130401",2*2592000,currentDate rotate
set yrange [0:60]
set ylabel "Images/day"
set key below
x0=NaN
y0=NaN
yprev=NaN
set multiplot
plot \
    'Total.d' using 1:(dx=strptime("%Y%m%d",stringcolumn(1))-x0,x0=strptime("%Y%m%d",stringcolumn(1)),dy=$3-y0,y0=$3,yprev=(dx==0?yprev:dy/dx*86400),dx==0?yprev:dy/dx*86400) title "Actual" w lp lw 1 lc 2, \
    'Total.d' using 1:(dx=strptime("%Y%m%d",stringcolumn(1))-x0,x0=strptime("%Y%m%d",stringcolumn(1)),dy=$3-y0,y0=$3,yprev=(dx==0?yprev:dy/dx*86400),dx==0?yprev:dy/dx*86400) title "Smooth approximation" w lp lw 2 lc 1 smooth bezier

These same routines could be applied to individual states by changing the column numbers to the relevant ones shown below. Gnuplot is a very powerful graphing and data analysis tool, and these examples are just the tip of the iceberg. Looking through the gnuplot documentation will allow the reader access to the many more advanced features of the software and provide a much more thorough glimpse into the activity of WP:NRHP than can be caught by looking at the Progress page at any one time!

Quick reference for column numbers

There are 12 different pieces of information for each state:

1. Total
2. Illustrated
3. %Illustrated
4. Articled
5. %Articled
6. Stubs
7. NRIS-only
8. Start+
9. %Start+
10. Unassessed
11. Untagged
12. Net_Quality

Column 1 in the data file is the revision date, common to all entries on that row, and the columns 2-13 are taken up by the national statistics. The states' columns are then included in alphabetical order starting with Alabama in columns 14-25. Washington, D.C. ("District of Columbia") is included just after Delaware, and territories such as Puerto Rico, Guam, etc. are included after all the states at the end of the row. The full list of states in alphabetical order is shown below for reference.

Click [show] to display a list of all states and territories for which there is data in alphabetical order

1. Alabama (AL)
2. Alaska (AK)
3. Arizona (AZ)
4. Arkansas (AR)
5. California (CA)
6. Colorado (CO)
7. Connecticut (CT)
8. Delaware (DE)
9. District of Columbia (DC)
10. Florida (FL)
11. Georgia (GA)
12. Hawaii (HI)
13. Idaho (ID)
14. Illinois (IL)
15. Indiana (IN)
16. Iowa (IA)
17. Kansas (KS)
18. Kentucky (KY)
19. Louisiana (LA)
20. Maine (ME)
21. Maryland (MD)
22. Massachusetts (MA)
23. Michigan (MI)
24. Minnesota (MN)
25. Mississippi (MS)
26. Missouri (MO)
27. Montana (MT)
28. Nebraska (NE)
29. Nevada (NV)
30. New Hampshire (NH)
31. New Jersey (NJ)
32. New Mexico (NM)
33. New York (NY)
34. North Carolina (NC)
35. North Dakota (ND)
36. Ohio (OH)
37. Oklahoma (OK)
38. Oregon (OR)
39. Pennsylvania (PA)
40. Rhode Island (RI)
41. South Carolina (SC)
42. South Dakota (SD)
43. Tennessee (TN)
44. Texas (TX)
45. Utah (UT)
46. Vermont (VT)
47. Virginia (VA)
48. Washington (WA)
49. West Virginia (WV)
50. Wisconsin (WI)
51. Wyoming (WY)
52. Puerto Rico (PR)
53. Guam (GU)
54. Virgin Islands (VI)
55. Northern Mariana Islands (MP)
56. American Samoa (AS)
57. Federated States of Micronesia (FM)
58. Palau (PW)
59. Marshall Islands (MH)
60. Minor Outlying Islands (UM)

A quick formula to calculate the column number of a certain column, C, inside a state is is C=1+12*n+m where n is the state's position in alphabetical order and m is the bit of information you want to get (e.g. 1=Total, etc. from the list above). Thus the %Illustrated column (m=3) in Colorado (n=6) is column C=1+12*6+3=76. A total reference list of all columns is shown below.

Click [show] to display a quick reference of which columns correspond to which data

1. Date
2. Total
3. Illustrated
4. %Illustrated
5. Articled
6. %Articled
7. Stubs
8. NRIS-only
9. Start+
10. %Start+
11. Unassessed
12. Untagged
13. Net_Quality
14. AL_Total
15. AL_Illustrated
16. AL_%Illustrated
17. AL_Articled
18. AL_%Articled
19. AL_Stubs
20. AL_NRIS-only
21. AL_Start+
22. AL_%Start+
23. AL_Unassessed
24. AL_Untagged
25. AL_Net_Quality
26. AK_Total
27. AK_Illustrated
28. AK_%Illustrated
29. AK_Articled
30. AK_%Articled
31. AK_Stubs
32. AK_NRIS-only
33. AK_Start+
34. AK_%Start+
35. AK_Unassessed
36. AK_Untagged
37. AK_Net_Quality
38. AZ_Total
39. AZ_Illustrated
40. AZ_%Illustrated
41. AZ_Articled
42. AZ_%Articled
43. AZ_Stubs
44. AZ_NRIS-only
45. AZ_Start+
46. AZ_%Start+
47. AZ_Unassessed
48. AZ_Untagged
49. AZ_Net_Quality
50. AR_Total
51. AR_Illustrated
52. AR_%Illustrated
53. AR_Articled
54. AR_%Articled
55. AR_Stubs
56. AR_NRIS-only
57. AR_Start+
58. AR_%Start+
59. AR_Unassessed
60. AR_Untagged
61. AR_Net_Quality
62. CA_Total
63. CA_Illustrated
64. CA_%Illustrated
65. CA_Articled
66. CA_%Articled
67. CA_Stubs
68. CA_NRIS-only
69. CA_Start+
70. CA_%Start+
71. CA_Unassessed
72. CA_Untagged
73. CA_Net_Quality
74. CO_Total
75. CO_Illustrated
76. CO_%Illustrated
77. CO_Articled
78. CO_%Articled
79. CO_Stubs
80. CO_NRIS-only
81. CO_Start+
82. CO_%Start+
83. CO_Unassessed
84. CO_Untagged
85. CO_Net_Quality
86. CT_Total
87. CT_Illustrated
88. CT_%Illustrated
89. CT_Articled
90. CT_%Articled
91. CT_Stubs
92. CT_NRIS-only
93. CT_Start+
94. CT_%Start+
95. CT_Unassessed
96. CT_Untagged
97. CT_Net_Quality
98. DE_Total
99. DE_Illustrated
100. DE_%Illustrated
101. DE_Articled
102. DE_%Articled
103. DE_Stubs
104. DE_NRIS-only
105. DE_Start+
106. DE_%Start+
107. DE_Unassessed
108. DE_Untagged
109. DE_Net_Quality
110. DC_Total
111. DC_Illustrated
112. DC_%Illustrated
113. DC_Articled
114. DC_%Articled
115. DC_Stubs
116. DC_NRIS-only
117. DC_Start+
118. DC_%Start+
119. DC_Unassessed
120. DC_Untagged
121. DC_Net_Quality
122. FL_Total
123. FL_Illustrated
124. FL_%Illustrated
125. FL_Articled
126. FL_%Articled
127. FL_Stubs
128. FL_NRIS-only
129. FL_Start+
130. FL_%Start+
131. FL_Unassessed
132. FL_Untagged
133. FL_Net_Quality
134. GA_Total
135. GA_Illustrated
136. GA_%Illustrated
137. GA_Articled
138. GA_%Articled
139. GA_Stubs
140. GA_NRIS-only
141. GA_Start+
142. GA_%Start+
143. GA_Unassessed
144. GA_Untagged
145. GA_Net_Quality
146. HI_Total
147. HI_Illustrated
148. HI_%Illustrated
149. HI_Articled
150. HI_%Articled
151. HI_Stubs
152. HI_NRIS-only
153. HI_Start+
154. HI_%Start+
155. HI_Unassessed
156. HI_Untagged
157. HI_Net_Quality
158. ID_Total
159. ID_Illustrated
160. ID_%Illustrated
161. ID_Articled
162. ID_%Articled
163. ID_Stubs
164. ID_NRIS-only
165. ID_Start+
166. ID_%Start+
167. ID_Unassessed
168. ID_Untagged
169. ID_Net_Quality
170. IL_Total
171. IL_Illustrated
172. IL_%Illustrated
173. IL_Articled
174. IL_%Articled
175. IL_Stubs
176. IL_NRIS-only
177. IL_Start+
178. IL_%Start+
179. IL_Unassessed
180. IL_Untagged
181. IL_Net_Quality
182. IN_Total
183. IN_Illustrated
184. IN_%Illustrated
185. IN_Articled
186. IN_%Articled
187. IN_Stubs
188. IN_NRIS-only
189. IN_Start+
190. IN_%Start+
191. IN_Unassessed
192. IN_Untagged
193. IN_Net_Quality
194. IA_Total
195. IA_Illustrated
196. IA_%Illustrated
197. IA_Articled
198. IA_%Articled
199. IA_Stubs
200. IA_NRIS-only
201. IA_Start+
202. IA_%Start+
203. IA_Unassessed
204. IA_Untagged
205. IA_Net_Quality
206. KS_Total
207. KS_Illustrated
208. KS_%Illustrated
209. KS_Articled
210. KS_%Articled
211. KS_Stubs
212. KS_NRIS-only
213. KS_Start+
214. KS_%Start+
215. KS_Unassessed
216. KS_Untagged
217. KS_Net_Quality
218. KY_Total
219. KY_Illustrated
220. KY_%Illustrated
221. KY_Articled
222. KY_%Articled
223. KY_Stubs
224. KY_NRIS-only
225. KY_Start+
226. KY_%Start+
227. KY_Unassessed
228. KY_Untagged
229. KY_Net_Quality
230. LA_Total
231. LA_Illustrated
232. LA_%Illustrated
233. LA_Articled
234. LA_%Articled
235. LA_Stubs
236. LA_NRIS-only
237. LA_Start+
238. LA_%Start+
239. LA_Unassessed
240. LA_Untagged
241. LA_Net_Quality
242. ME_Total
243. ME_Illustrated
244. ME_%Illustrated
245. ME_Articled
246. ME_%Articled
247. ME_Stubs
248. ME_NRIS-only
249. ME_Start+
250. ME_%Start+
251. ME_Unassessed
252. ME_Untagged
253. ME_Net_Quality
254. MD_Total
255. MD_Illustrated
256. MD_%Illustrated
257. MD_Articled
258. MD_%Articled
259. MD_Stubs
260. MD_NRIS-only
261. MD_Start+
262. MD_%Start+
263. MD_Unassessed
264. MD_Untagged
265. MD_Net_Quality
266. MA_Total
267. MA_Illustrated
268. MA_%Illustrated
269. MA_Articled
270. MA_%Articled
271. MA_Stubs
272. MA_NRIS-only
273. MA_Start+
274. MA_%Start+
275. MA_Unassessed
276. MA_Untagged
277. MA_Net_Quality
278. MI_Total
279. MI_Illustrated
280. MI_%Illustrated
281. MI_Articled
282. MI_%Articled
283. MI_Stubs
284. MI_NRIS-only
285. MI_Start+
286. MI_%Start+
287. MI_Unassessed
288. MI_Untagged
289. MI_Net_Quality
290. MN_Total
291. MN_Illustrated
292. MN_%Illustrated
293. MN_Articled
294. MN_%Articled
295. MN_Stubs
296. MN_NRIS-only
297. MN_Start+
298. MN_%Start+
299. MN_Unassessed
300. MN_Untagged
301. MN_Net_Quality
302. MS_Total
303. MS_Illustrated
304. MS_%Illustrated
305. MS_Articled
306. MS_%Articled
307. MS_Stubs
308. MS_NRIS-only
309. MS_Start+
310. MS_%Start+
311. MS_Unassessed
312. MS_Untagged
313. MS_Net_Quality
314. MO_Total
315. MO_Illustrated
316. MO_%Illustrated
317. MO_Articled
318. MO_%Articled
319. MO_Stubs
320. MO_NRIS-only
321. MO_Start+
322. MO_%Start+
323. MO_Unassessed
324. MO_Untagged
325. MO_Net_Quality
326. MT_Total
327. MT_Illustrated
328. MT_%Illustrated
329. MT_Articled
330. MT_%Articled
331. MT_Stubs
332. MT_NRIS-only
333. MT_Start+
334. MT_%Start+
335. MT_Unassessed
336. MT_Untagged
337. MT_Net_Quality
338. NE_Total
339. NE_Illustrated
340. NE_%Illustrated
341. NE_Articled
342. NE_%Articled
343. NE_Stubs
344. NE_NRIS-only
345. NE_Start+
346. NE_%Start+
347. NE_Unassessed
348. NE_Untagged
349. NE_Net_Quality
350. NV_Total
351. NV_Illustrated
352. NV_%Illustrated
353. NV_Articled
354. NV_%Articled
355. NV_Stubs
356. NV_NRIS-only
357. NV_Start+
358. NV_%Start+
359. NV_Unassessed
360. NV_Untagged
361. NV_Net_Quality
362. NH_Total
363. NH_Illustrated
364. NH_%Illustrated
365. NH_Articled
366. NH_%Articled
367. NH_Stubs
368. NH_NRIS-only
369. NH_Start+
370. NH_%Start+
371. NH_Unassessed
372. NH_Untagged
373. NH_Net_Quality
374. NJ_Total
375. NJ_Illustrated
376. NJ_%Illustrated
377. NJ_Articled
378. NJ_%Articled
379. NJ_Stubs
380. NJ_NRIS-only
381. NJ_Start+
382. NJ_%Start+
383. NJ_Unassessed
384. NJ_Untagged
385. NJ_Net_Quality
386. NM_Total
387. NM_Illustrated
388. NM_%Illustrated
389. NM_Articled
390. NM_%Articled
391. NM_Stubs
392. NM_NRIS-only
393. NM_Start+
394. NM_%Start+
395. NM_Unassessed
396. NM_Untagged
397. NM_Net_Quality
398. NY_Total
399. NY_Illustrated
400. NY_%Illustrated
401. NY_Articled
402. NY_%Articled
403. NY_Stubs
404. NY_NRIS-only
405. NY_Start+
406. NY_%Start+
407. NY_Unassessed
408. NY_Untagged
409. NY_Net_Quality
410. NC_Total
411. NC_Illustrated
412. NC_%Illustrated
413. NC_Articled
414. NC_%Articled
415. NC_Stubs
416. NC_NRIS-only
417. NC_Start+
418. NC_%Start+
419. NC_Unassessed
420. NC_Untagged
421. NC_Net_Quality
422. ND_Total
423. ND_Illustrated
424. ND_%Illustrated
425. ND_Articled
426. ND_%Articled
427. ND_Stubs
428. ND_NRIS-only
429. ND_Start+
430. ND_%Start+
431. ND_Unassessed
432. ND_Untagged
433. ND_Net_Quality
434. OH_Total
435. OH_Illustrated
436. OH_%Illustrated
437. OH_Articled
438. OH_%Articled
439. OH_Stubs
440. OH_NRIS-only
441. OH_Start+
442. OH_%Start+
443. OH_Unassessed
444. OH_Untagged
445. OH_Net_Quality
446. OK_Total
447. OK_Illustrated
448. OK_%Illustrated
449. OK_Articled
450. OK_%Articled
451. OK_Stubs
452. OK_NRIS-only
453. OK_Start+
454. OK_%Start+
455. OK_Unassessed
456. OK_Untagged
457. OK_Net_Quality
458. OR_Total
459. OR_Illustrated
460. OR_%Illustrated
461. OR_Articled
462. OR_%Articled
463. OR_Stubs
464. OR_NRIS-only
465. OR_Start+
466. OR_%Start+
467. OR_Unassessed
468. OR_Untagged
469. OR_Net_Quality
470. PA_Total
471. PA_Illustrated
472. PA_%Illustrated
473. PA_Articled
474. PA_%Articled
475. PA_Stubs
476. PA_NRIS-only
477. PA_Start+
478. PA_%Start+
479. PA_Unassessed
480. PA_Untagged
481. PA_Net_Quality
482. RI_Total
483. RI_Illustrated
484. RI_%Illustrated
485. RI_Articled
486. RI_%Articled
487. RI_Stubs
488. RI_NRIS-only
489. RI_Start+
490. RI_%Start+
491. RI_Unassessed
492. RI_Untagged
493. RI_Net_Quality
494. SC_Total
495. SC_Illustrated
496. SC_%Illustrated
497. SC_Articled
498. SC_%Articled
499. SC_Stubs
500. SC_NRIS-only
501. SC_Start+
502. SC_%Start+
503. SC_Unassessed
504. SC_Untagged
505. SC_Net_Quality
506. SD_Total
507. SD_Illustrated
508. SD_%Illustrated
509. SD_Articled
510. SD_%Articled
511. SD_Stubs
512. SD_NRIS-only
513. SD_Start+
514. SD_%Start+
515. SD_Unassessed
516. SD_Untagged
517. SD_Net_Quality
518. TN_Total
519. TN_Illustrated
520. TN_%Illustrated
521. TN_Articled
522. TN_%Articled
523. TN_Stubs
524. TN_NRIS-only
525. TN_Start+
526. TN_%Start+
527. TN_Unassessed
528. TN_Untagged
529. TN_Net_Quality
530. TX_Total
531. TX_Illustrated
532. TX_%Illustrated
533. TX_Articled
534. TX_%Articled
535. TX_Stubs
536. TX_NRIS-only
537. TX_Start+
538. TX_%Start+
539. TX_Unassessed
540. TX_Untagged
541. TX_Net_Quality
542. UT_Total
543. UT_Illustrated
544. UT_%Illustrated
545. UT_Articled
546. UT_%Articled
547. UT_Stubs
548. UT_NRIS-only
549. UT_Start+
550. UT_%Start+
551. UT_Unassessed
552. UT_Untagged
553. UT_Net_Quality
554. VT_Total
555. VT_Illustrated
556. VT_%Illustrated
557. VT_Articled
558. VT_%Articled
559. VT_Stubs
560. VT_NRIS-only
561. VT_Start+
562. VT_%Start+
563. VT_Unassessed
564. VT_Untagged
565. VT_Net_Quality
566. VA_Total
567. VA_Illustrated
568. VA_%Illustrated
569. VA_Articled
570. VA_%Articled
571. VA_Stubs
572. VA_NRIS-only
573. VA_Start+
574. VA_%Start+
575. VA_Unassessed
576. VA_Untagged
577. VA_Net_Quality
578. WA_Total
579. WA_Illustrated
580. WA_%Illustrated
581. WA_Articled
582. WA_%Articled
583. WA_Stubs
584. WA_NRIS-only
585. WA_Start+
586. WA_%Start+
587. WA_Unassessed
588. WA_Untagged
589. WA_Net_Quality
590. WV_Total
591. WV_Illustrated
592. WV_%Illustrated
593. WV_Articled
594. WV_%Articled
595. WV_Stubs
596. WV_NRIS-only
597. WV_Start+
598. WV_%Start+
599. WV_Unassessed
600. WV_Untagged
601. WV_Net_Quality
602. WI_Total
603. WI_Illustrated
604. WI_%Illustrated
605. WI_Articled
606. WI_%Articled
607. WI_Stubs
608. WI_NRIS-only
609. WI_Start+
610. WI_%Start+
611. WI_Unassessed
612. WI_Untagged
613. WI_Net_Quality
614. WY_Total
615. WY_Illustrated
616. WY_%Illustrated
617. WY_Articled
618. WY_%Articled
619. WY_Stubs
620. WY_NRIS-only
621. WY_Start+
622. WY_%Start+
623. WY_Unassessed
624. WY_Untagged
625. WY_Net_Quality
626. PR_Total
627. PR_Illustrated
628. PR_%Illustrated
629. PR_Articled
630. PR_%Articled
631. PR_Stubs
632. PR_NRIS-only
633. PR_Start+
634. PR_%Start+
635. PR_Unassessed
636. PR_Untagged
637. PR_Net_Quality
638. GU_Total
639. GU_Illustrated
640. GU_%Illustrated
641. GU_Articled
642. GU_%Articled
643. GU_Stubs
644. GU_NRIS-only
645. GU_Start+
646. GU_%Start+
647. GU_Unassessed
648. GU_Untagged
649. GU_Net_Quality
650. VI_Total
651. VI_Illustrated
652. VI_%Illustrated
653. VI_Articled
654. VI_%Articled
655. VI_Stubs
656. VI_NRIS-only
657. VI_Start+
658. VI_%Start+
659. VI_Unassessed
660. VI_Untagged
661. VI_Net_Quality
662. MP_Total
663. MP_Illustrated
664. MP_%Illustrated
665. MP_Articled
666. MP_%Articled
667. MP_Stubs
668. MP_NRIS-only
669. MP_Start+
670. MP_%Start+
671. MP_Unassessed
672. MP_Untagged
673. MP_Net_Quality
674. AS_Total
675. AS_Illustrated
676. AS_%Illustrated
677. AS_Articled
678. AS_%Articled
679. AS_Stubs
680. AS_NRIS-only
681. AS_Start+
682. AS_%Start+
683. AS_Unassessed
684. AS_Untagged
685. AS_Net_Quality
686. FM_Total
687. FM_Illustrated
688. FM_%Illustrated
689. FM_Articled
690. FM_%Articled
691. FM_Stubs
692. FM_NRIS-only
693. FM_Start+
694. FM_%Start+
695. FM_Unassessed
696. FM_Untagged
697. FM_Net_Quality
698. PW_Total
699. PW_Illustrated
700. PW_%Illustrated
701. PW_Articled
702. PW_%Articled
703. PW_Stubs
704. PW_NRIS-only
705. PW_Start+
706. PW_%Start+
707. PW_Unassessed
708. PW_Untagged
709. PW_Net_Quality
710. MH_Total
711. MH_Illustrated
712. MH_%Illustrated
713. MH_Articled
714. MH_%Articled
715. MH_Stubs
716. MH_NRIS-only
717. MH_Start+
718. MH_%Start+
719. MH_Unassessed
720. MH_Untagged
721. MH_Net_Quality
722. UM_Total
723. UM_Illustrated
724. UM_%Illustrated
725. UM_Articled
726. UM_%Articled
727. UM_Stubs
728. UM_NRIS-only
729. UM_Start+
730. UM_%Start+
731. UM_Unassessed
732. UM_Untagged
733. UM_Net_Quality