Getting On The Air

Status of POTA in India

#pota #field-ops #analysis #data #maps #challenges #python #india #vuland

Reading time: 28 minutes

This post is best read on a large screen!

As always, here is the TL;DR version:

If you have been following the excellent data-driven analysis by Frank Howell (K4FMH) on U.S. POTA activity1, you might wonder: what does the distribution of Parks on the Air (POTA) look like in VU land? In this post, we will walk through how to fetch the data, analyse it, and generate the necessary maps to understand the POTA landscape in India. If you compare this with the parks in the US or EU, the numbers look minuscule, but I would hope, that the uptick in VU POTA operations continues2.

Parks listed on POTA

How many parks do we have listed on the POTA site? Where are they? How many of these are activated?

There are 191 parks listed on the POTA site, of which 50 parks have been activated a total of 104 times by 19 operators3.

Figure 1: Interactive Map of POTA Sites in India

Click to view/hide Map Data Table

This table breaks down the geographical spread of our POTA entities alongside their lifetime activations in India. Unsurprisingly, states with active communities like West Bengal, Karnataka, and Madhya Pradesh are currently leading the charge. Given my recent wet-weather deployment at , it’s great to see Karnataka steadily climbing through.

Table 1: Statewise Breakdown of POTA Parks and Activations
State / RegionTotal ParksActivated ParksTotal Activations
West Bengal261532
Karnataka151028
Madhya Pradesh131318
Tamil Nadu6211
Maharashtra1736
Haryana534
Kerala912
Rajasthan511
Goa211
Sikkim111
Arunachal Pradesh2400
Andaman and Nicobar900
Himachal Pradesh800
Ladakh800
Assam700
Uttarakhand600
Gujarat400
Telangana400
Andhra Pradesh300
Chandigarh300
Jammu and Kashmir300
Manipur200
Meghalaya200
Odisha200
Tripura200
Bihar100
Jharkhand100
Mizoram100
Nagaland100
Uttar Pradesh100

Has the state of POTA changed over a period of time in India?

Is POTA catching on in VU land? The short answer is maybe not!

This could also be a result of unfamiliarity with POTA, not actively uploading logs on the POTA site, or just not listing the park!

Growth of POTA in India

I plotted a line graph to track our cumulative completed activations from the early days of 2021 up to 2026. The rate of change is slow, showing a low adoption of portable operations with VU operators.

Figure 2: Historical Timeline of POTA Activations

Click to view/hide Timeline Data Table

Table 2: Year-wise Cumulative POTA Activations
YearActivations in YearCumulative Total
202122
20222830
20231747
20243077
202525102
202621123

This table gives the hard numbers year-by-year, we have steadily climbed to a running total of 123 activations by 2026. Though there is a cumulative increase, if you look at the activations year-on-year, the last three years have shown an interesting trend, we had 25 activations in 2025 and 30 activations in 2024, while 2026 is currently on pace to be the most active year yet for Indian POTA. With the “low” monsoon, holiday season, and winter travel coming up, I expect the activations to double4. While one could say these are too small numbers to analyse and worry about, they are a clear sign that “catalysing” will definitely help.

Are all these parks activated?

The funny portion however is that 141 parks have not yet been activated, now is that a result of an initial set of “seeder” parks that were added or is that because of the nature of POTA in India? However, that is a lot of first-activation opportunities waiting for operators in India if they are willing to brave it out in the field, and especially in the conditions at parks.

Figure 3: Bar Chart detailing the 'Long Tail' of unactivated and lightly-activated parks

Click to view/hide Tier Breakdown Table

Table 3: Breakdown of POTA Parks by Activation Tiers
Activation TierNumber of Parks
Unactivated141
1 Activation30
2 to 5 Activations16
6 to 10 Activations4
11+ Activations0

Drawing inspiration from K4FMH’s excellent spatial analysis of U.S. parks, this curve plots the cumulative percentage of lifetime activations against individual park ranks. The inequality is staggering—a very small fraction of popular parks accounts for a massive share of the overall activation count. The detailed table provides a complete ranking of all 191 parks, showing exactly which ones (like Mudumalai and Bandipur) are doing the heavy lifting, accounting for 18 themselves. If the top 4 parks are put together, we already have 30 of the 104 activations. If each one had an equal share, the line would be flat and straight from zero percent, rank 1 to 100 percent, rank 191 (number of POTA parks)5.

Figure 4: Lorenz Curve showing the inequality of park activations

Click to view/hide Ranked Parks Data Table

Table 4: Complete Ranking of India POTA Parks by Activation Count
RankReferencePark NameActivationsCumulative %
1IN-0085Mudumalai National Park109.62%
2IN-0041Bandipur National Park817.31%
3IN-0042Bannerghatta National Park623.08%
4IN-0126Rabindra Sarovar Ecological Site628.85%
5IN-0067Tadoba National Park432.69%
6IN-0128Bethuadahari Wildlife Sanctuary Wildlife Reserve436.54%
7IN-0061Satpura National Park440.38%
8IN-0140Cauvery Wildlife Sanctuary Wildlife Reserve444.23%
9IN-0101Jaldapara National Park347.12%
10IN-0155Mayurjharna Elephant Reserve Sanctuary350.00%
11IN-0176Mangwa Forest (Mangwa Hill) Ecological Site352.88%
12IN-0044Nagarhole National Park355.77%
13IN-0059Pench National Park257.69%
14IN-0169Satpura National Park National Park259.62%
15IN-0136MOHANPUR FOREST Recreation Park261.54%
16IN-0137JAWAHAR KUNJ Recreation Park263.46%
17IN-0185Wayanad Wildlife Sanctuary265.38%
18IN-0182Damdama Lake Biodiversity Nature Park267.31%
19IN-0103Singalila National Park269.23%
20IN-0139Nugu Wildlife Sanctuary Wildlife Reserve271.15%
21IN-0100Gorumara National Park172.12%
22IN-0055Kuno National Park173.08%
23IN-0058Panna National Park174.04%
24IN-0043Kudremukh National Park175.00%
25IN-0054Kanha National Park175.96%
26IN-0062Van Vihar National Park176.92%
27IN-0060Sanjay National Park177.88%
28IN-0056Madhav National Park178.85%
29IN-0057Mandala Plant Fossil National Park179.81%
30IN-0053Omkareshwar National Park180.77%
31IN-0052Bandhavgarh National Park181.73%
32IN-0189Brahmagiri Wildlife Reserve182.69%
33IN-0170Ralamandal Wildlife Sanctuary183.65%
34IN-0181Leopard Trail Aravalli Hills State Trail184.62%
35IN-0184Leisure Valley Park Natural Area185.58%
36IN-0144Tipeshwar Wildlife Sanctuary Wildlife Reserve186.54%
37IN-0113EMPRESS Botanical Gardens187.50%
38IN-0107Sabujdeep Provincial Recreation Area188.46%
39IN-0127Ballabhpur Wildlife Sanctuary Wildlife Reserve189.42%
40IN-0076Desert National Park190.38%
41IN-0081Kangchendzonga National Park191.35%
42IN-0158Chapramari Wildlife Sanctuary Wildlife Reserve192.31%
43IN-0157Sikia Jhora Bird Sanctuary193.27%
44IN-0145Mahadeshwara wildlife sanctury and tiger reserve Wildlife Reserve194.23%
45IN-0159Parade Ground Park195.19%
46IN-0142Jayamangali Blackbuck Reserve Conservation Reserve196.15%
47IN-0135MOHANPUR FOREST Natural Area197.12%
48IN-0138Biligiri Ranganatha Swamy Temple (BRT) Wildlife Reserve198.08%
49IN-0154Mangalam R.F Nature Park199.04%
50IN-0183Mollem National Park1100.00%
51IN-0016Kaziranga National Park0100.00%
52IN-0004Middle Button Island National Park0100.00%
53IN-0001Campbell Bay National Park0100.00%
54IN-0002Galathea National Park0100.00%
55IN-0003Mahatma Gandhi Marine National Park0100.00%
56IN-0008Saddle Peak National Park0100.00%
57IN-0009South Button Island National Park0100.00%
58IN-0010Papikonda National Park0100.00%
59IN-0011Rajiv Gandhi (Rameshwaram) National Park0100.00%
60IN-0012Sri Venkateswara National Park0100.00%
61IN-0005Mount Harriet National Park0100.00%
62IN-0006North Button National Park0100.00%
63IN-0007Rani Jhansi Marine National Park0100.00%
64IN-0063Chandoli National Park0100.00%
65IN-0050Silent Valley National Park0100.00%
66IN-0049Periyar National Park0100.00%
67IN-0048Pambadum Shola National Park0100.00%
68IN-0051Hemis National Park0100.00%
69IN-0033Khirganga National Park0100.00%
70IN-0034Pin Valley National Park0100.00%
71IN-0035Simbalbara National Park0100.00%
72IN-0039Betla National Park0100.00%
73IN-0038Salim Ali National Park0100.00%
74IN-0037Kishtwar National Park0100.00%
75IN-0036Dachigam National Park0100.00%
76IN-0040Anshi National Park0100.00%
77IN-0045Anamudi Shola National Park0100.00%
78IN-0046Eravikulam National Park0100.00%
79IN-0047Mathikettan Shola National Park0100.00%
80IN-0032Inderkilla National Park0100.00%
81IN-0017Manas National Park0100.00%
82IN-0018Nameri National Park0100.00%
83IN-0019Rajiv Gandhi Orang National Park0100.00%
84IN-0020Valmiki National Park0100.00%
85IN-0021Guru Ghasidas (Sanjay) National Park0100.00%
86IN-0022Indravati (Kutru) National Park0100.00%
87IN-0023Kanger Vally National Park0100.00%
88IN-0024Mollem National Park0100.00%
89IN-0025Vansda National Park0100.00%
90IN-0026Blackbuck National Park0100.00%
91IN-0027Gir National Park0100.00%
92IN-0028Marine (Gulf Of Kutch) National Park0100.00%
93IN-0029Kalesar National Park0100.00%
94IN-0030Sultanpur National Park0100.00%
95IN-0031Great National Park0100.00%
96IN-0015Dibru-Saikhowa National Park0100.00%
97IN-0014Namdapha National Park0100.00%
98IN-0013Mouling National Park0100.00%
99IN-0092Dudhwa National Park0100.00%
100IN-0091Clouded Leopard National Park0100.00%
101IN-0090Bison ( Rajbari) National Park0100.00%
102IN-0089Mrugavani National Park0100.00%
103IN-0099Buxa Reserve0100.00%
104IN-0095Jim Corbett National Park0100.00%
105IN-0094Govind Pashu Vihar National Park0100.00%
106IN-0093Gangotri National Park0100.00%
107IN-0071Nokrek National Park0100.00%
108IN-0068Keibul Lamjao National Park0100.00%
109IN-0069Sirohi National Park0100.00%
110IN-0065Navegaon National Park0100.00%
111IN-0064Gugamal National Park0100.00%
112IN-0079Ranthambore National Park0100.00%
113IN-0078Mukundra Hill National Park0100.00%
114IN-0082Guindy National Park0100.00%
115IN-0080Sariska Reserve0100.00%
116IN-0083Gulf Of Munnar Marine National Park0100.00%
117IN-0084Indra Gandhi Sanctuary National Park0100.00%
118IN-0086Mukurthi National Park0100.00%
119IN-0087Kasu Brahmananda Reddy National Park0100.00%
120IN-0088Mahavir Harina Vanasthali National Park0100.00%
121IN-0072Murlen National Park0100.00%
122IN-0074Bhitarkanika National Park0100.00%
123IN-0073Ntangki National Park0100.00%
124IN-0075Simlipal National Park0100.00%
125IN-0077Keoladeo National Park0100.00%
126IN-0070Balphakram National Park0100.00%
127IN-0066Sanjay Gandhi National Park0100.00%
128IN-0124Daying Ering Wildlife Sanctuary 5(1)(g) Reserve0100.00%
129IN-0125MEHAO WILD LIFE SANCTUARY Biosphere Reserve0100.00%
130IN-0122Pakke Tiger Reserve 5(1)(g) Reserve0100.00%
131IN-0123TALLE VALLEY WILD LIFE SANCTUARY Protected Area0100.00%
132IN-0121KAMLANG WILDLIFE SANCTUARY Biosphere Reserve0100.00%
133IN-0120DIBANG WILD LIFE SANCTUARY Wildlife Reserve0100.00%
134IN-0118SESSA ORCHID SANCTUARY Biosphere Reserve0100.00%
135IN-0119EAGLE NEST WILD LIFE SANCTUARY 5(1)(g) Reserve0100.00%
136IN-0115BOPDEV HILL TREKKING POINT State Trail0100.00%
137IN-0114RAJIV GANDHI ZOOLOGICAL PARK State Park0100.00%
138IN-0117KOYNA UNESCO Biosphere Reserve0100.00%
139IN-0116KAS PLATEAU Forest Reserve0100.00%
140IN-0112VETAL HILL Forest Reserve0100.00%
141IN-0109Gool Poonawala Garden Recreation Park0100.00%
142IN-0110VASUNDHARA VAN 5(1)(g) Reserve0100.00%
143IN-0111ANAND VAN Reserve0100.00%
144IN-0096Nanda Devi National Park0100.00%
145IN-0097Rajaji National Park0100.00%
146IN-0098Valley Of Flowers National Park0100.00%
147IN-0108Taljai Forest Wildlife Reserve0100.00%
148IN-0106BALLABHPUR WILDLIFE SANCTUARY Wildlife Reserve0100.00%
149IN-0105PILIKULA BIOLOGICAL PARL Nature Park0100.00%
150IN-0104Sundarbans National Park0100.00%
151IN-0102Neora Valley National Park0100.00%
152IN-0143RICE RESEARCH STATION Scientific Reserve0100.00%
153IN-0141SHETTIHALLI WILDLIFE SANCTUARY Wildlife Reserve0100.00%
154IN-0130INDRA GANDHI PARK Recreation Park0100.00%
155IN-0129ITANAGAR ZOOLOGICAL PARK Recreation Park0100.00%
156IN-0131POLO PARK Botanical Gardens0100.00%
157IN-0132ITA - FORT Historical Reserve0100.00%
158IN-0133GEKER SINYING Wetland Reserve0100.00%
159IN-0134ENERGY PARK Recreation Park0100.00%
160IN-0156Maidan (Kolkata) Ecological Area0100.00%
161IN-0152Eaglenest Wildlife Sanctuary Wildlife Area0100.00%
162IN-0153Itanagar Wildlife Sanctuary Wildlife Area0100.00%
163IN-0147Pakke Tiger Reserve Wildlife Area0100.00%
164IN-0148Daying Ering wildlife sanctuary Wildlife Area0100.00%
165IN-0149Mehao Wildlife Sanctuary Wildlife Area0100.00%
166IN-0150Kamlang Wildlife Sanctuary Wildlife Area0100.00%
167IN-0151Talley Valley Wildlife Sanctuary Wildlife Area0100.00%
168IN-0146Dibang Wildlife Sanctuary Wildlife Area0100.00%
169IN-0166Amchang Wildlife Sanctuary0100.00%
170IN-0167Pobitora Wildlife Sanctuary0100.00%
171IN-0160Changthang Cold Desert Wildlife Sanctuary Wildlife Reserve0100.00%
172IN-0164Pangong Tso Aquatic Reserve0100.00%
173IN-0161Karakoram (Nubra Shyok) Wildlife Sanctuary Wildlife Reserve0100.00%
174IN-0162Tso Kar Basin Wildlife Sanctuary Wildlife Reserve0100.00%
175IN-0163Gya-Miru Wildlife Sanctuary Wildlife Reserve0100.00%
176IN-0175KHOLTA ECO PARK Landscape Park0100.00%
177IN-0174RAYDAK FOREST (RAIDAK) National Reserve0100.00%
178IN-0173PORO ECO PARK Area of Outstanding Natural Beauty0100.00%
179IN-0172Idukki Wildlife Sanctuary Wildlife Reserve0100.00%
180IN-0168Lonar Lake Wildlife Reserve0100.00%
181IN-0165Chilapata Forest Conservation Reserve0100.00%
182IN-0180Ficus Garden Botanical Gardens0100.00%
183IN-0179Bhimgad Wildlife Sanctuary Wildlife Area0100.00%
184IN-0177Konni Forest Regional Reserve0100.00%
185IN-0178Ghum Biodiversity Conservation Park Biosphere Reserve0100.00%
186IN-0187Hemis National Park0100.00%
187IN-0186Kabini Wildlife Reserve0100.00%
188IN-0188Tso Kar Lake Wildlife Sanctuary0100.00%
189IN-0190Manali Wildlife Sanctuary0100.00%
190IN-0191Great Himalayan National Park0100.00%
191IN-0192Pin Valley National Park0100.00%

Why is POTA activity so low in India?

The first question we will need to answer is how many “active HAMs” do we have in the country? Ideally, you’d have something like the Wireless Planning And Coordination (WPC) Wing of the Ministry of Communications, Govt. of India publishing at least the number of licensed HAMs in the country. But as far as I know, that isn’t the case. Another heuristic we could use the number of registrants/participants in HAM fests across India. I’m told across Hamfest India, Lamakaan Annual Radio Convention and ARCON, Hamfest is the largest one. The latest version HFI 2026, is at Manguluru, and according to their registration numbers we have roughly 5906 licensed HAMs registered for the event.

But how many of those are actively getting on the air? To find out, we have to look for public digital footprints. Ideally, we would just query QRZ.com, eQSL, or ClubLog, as these are incredibly popular logging platforms. However, these platforms either require paid premium subscriptions for API access, or they employ strict anti-bot protections (like Cloudflare) that prevent automated country-wide analysis. Scraping them directly violates their Terms of Service. Because of this, we must rely on completely open and public data sources. For the purposes of this post, I have built a census using a dual-methodology to capture two different types of active operators:

  1. Intentional Log Uploaders (3-Year Baseline) These are operators who have actively uploaded logs or participated in global events over the last three years (2024–2026). This includes:
    • Logbook of The World (LoTW) and Parks on the Air (POTA) databases.
    • A comprehensive sweep of public contest submissions, including: CQ WPX (SSB/CW/RTTY), CQ WW (SSB/CW/RTTY), CQ 160 (CW/SSB), IARU HF Championship, and a massive suite of ARRL contests (DX CW/SSB, RTTY Roundup, 160M, Sweepstakes CW/SSB, Int. Digital, and 10M). I might have missed out a few folks from other contests, so please do let me know7.
  2. Active RF Emitters (Recent Snapshots) Not every active HAM cares about contests or uploading logs to LoTW; some just ragchew or test antennas. To capture these operators, I queried automated spotting networks8.
    • Reverse Beacon Network (RBN): Downloaded one day’s archive to capture active CW and RTTY operators.
    • PSKReporter: A targeted 24-hour snapshot to capture operators actively transmitting on FT8/FT4.
    • WSPRnet: The current month’s archive to find operators actively transmitting weak signals for propagation testing.

Table 5: Unified Active VU HF Operators Census [fn:data_sources]
Data Source / MetricTotal DiscoveredExtracted Unique
Logbook of The World (LoTW)323+323
Parks on the Air (POTA)49+25
CQ WPX SSB98+34
CQ WPX CW32+3
CQ WW SSB69+14
CQ WW CW30+2
CQ WW RTTY5+0
CQ WPX RTTY10+0
CQ 160 CW3+0
CQ 160 SSB0+0
IARU HF Champ70+21
ARRL DX CW11+0
ARRL DX SSB10+0
ARRL RTTY Roundup7+1
ARRL 160M0+0
ARRL Sweepstakes CW0+0
ARRL Sweepstakes SSB0+0
ARRL Int. Digital2+0
ARRL 10M39+5
Reverse Beacon Network (24h)69+48
PSKReporter (24h)12+4
WSPRnet (Recent Archive)5+1
Total De-duplicated Active VU Population-481

As you can see, 481 is a small number for a country the size of India. However, it is important to contextualize this number: it represents digitally verifiable, internationally visible HF operators. It does not account for the purely local operators who rely entirely on VHF/UHF repeaters, rag-chewers, those who exclusively log on QRZ.com, or traditional HAMs who still maintain entirely paper logs. However, 481 active operators is a clear sign that the baseline is small, and we have a challenge on our hands. The fact that only 19 of these 481 operators have ventured out to activate a POTA park highlights a massive opportunity for growth in Indian portable operations!

Who is activating these parks?

When looking at the full group of 19 operators, the community delivered 123 total activations (104 of which were successful) across a footprint of 72 unique parks (50 of which were successfully activated)9. However, if you remove VU2UCR from the equation, the remaining 18 operators account for only 82 total activations (63 successful) and 57 unique parks. This means VU2UCR alone is responsible for exactly 33% of all field outings and nearly 40% of the entire dataset’s successful activations.

Activators

I put together a twin-axis butterfly chart to map operator behaviour. It plots their geographic diversity (the number of unique parks visited on the left axis) against their overall activation effort (total outings on the right axis), to denote their activation rate10. It also reveals a massive skew in the data: VU2UCR alone is responsible for an incredible 33% of all field outings and nearly 40% of the entire dataset’s successful activations. Because of this skewed volume of activations by VU2UCR, pulling him out corrects a significant skew in your averages: the mean successful activations per operator drops sharply from 5.5 down to 3.5, while the median (the most “typical” operator) remains much more grounded, shifting only slightly from 3 down to 2.5. VU2JDC has activated 13 unique parks and next up is VU3YDA on this list with 9 parks.

Figure 5: Twin-axis butterfly chart mapping operator exploration and effort.

Click to view/hide Activator Statistics Table

Table 6: Individual Activator Statistics (India)
CallsignUnique Parks ActivatedTotal ActivationsSuccessful (>=10 QSOs)Failed (<10 QSOs)Success Rate
VU2UCR1541410100.0%
VU2JDC131514193.3%
VU3YDA91411378.6%
VU3XRY6127558.3%
VU3OAC4440100.0%
VU2UUU354180.0%
VU3IBL364266.7%
VU3NZZ3330100.0%
VU3KOX332166.7%
VU3GLJ243175.0%
VU3NZG2330100.0%
VU3UBP2220100.0%
VU2MYS1220100.0%
VU22DX121150.0%
VU22PJ121150.0%
VU2GIN1110100.0%
VU2HRF1110100.0%
VU2ZRF11010.0%
VU3IYI12020.0%

What is the split between General and Restricted?

As a VU3 operator myself, this was a fun one to dig into11! Before jumping in, it is important to note that our sample size is currently quite small—only 9 General (VU2) and 10 Restricted (VU3) operators. While this means a single new highly active operator could easily shift the overall trends, the current data tells a compelling story. The data tells us that despite the high average, a typical general grade operator is not very active (median of 1.0, skewed mean of 7.2). The bottom 25% of the operators completed less than one activation, whereas if a general grade operator activates 4 parks, they move to the top 25%. Interestingly, restricted grade operators seem to be more active (median of 3.0 and mean of 3.9)! The bottom 25% activated 2 or fewer parks, whereas the top 25% activated 4. While the sample size is too small to draw permanent conclusions and could change rapidly in a couple of years12, the current numbers translate to the Restricted Grade (VU3) operators actually having a much stronger and more consistent baseline of activity.

Figure 6: Baseline operational footprint of General vs. Restricted grade license holders.

Click to view/hide License Class Demographics

Table 7: Summary Statistics of India POTA Activators by License Class
License ClassActive OperatorsMedian ActivationsMaximum ActivationsTotal Activations (Class)
VU2 (General Grade)914165
VU3 (Restricted Grade)1031139

While the General class appears to vastly outperform the Restricted class on paper, these tables tell a different story once you adjust for the extremes. When you remove the extreme top outlier (VU2UCR), the Restricted class (VU3) operators actually maintain a higher baseline of average activity, a stronger median, and a higher mean successful activation rate than General class operators! It seems us Restricted operators are definitely pulling our weight out in the field. What would be interesting to check is how many of them are doing so with their QRP setups!

Table 8: Impact of Outlier Removal on License Class Statistics
MetricGeneral - allGeneral - without VU2UCRRestricted
Active Operators9810
Total Attempts702953
Successful (>=10 QSOs)652439
Mean Successful7.23.03.9
Median Successful1.01.03.0

Where do they go to activate?

I would have ideally liked to show all activators, but given the lack of “public” data for this, I have only plotted those who have listed their data on HamQTH13.

Figure 7: Geographic footprint and operational tracking radii of portable park activations.

Who is hunting Indian parks?

The map below is fairly instructive, we can clearly see that the typical hunter profile seems to be the usual suspects who are able to receive HF easily from India. Please note that for simplicity, I have only listed the top fifteen hunters and the number of unique parks in the first image, the pie chart has the full data for the hunter split between groups, and the full list of hunters is available below the charts.

Figure 8: Hunters of Indian POTA sites.

Figure 9: Map of IN park hunters.

Click to view/hide Master Hunter Leaderboard Table

Table 9: Comprehensive Profile of Top Hunters for India POTA Parks
RankCallsignISOClassificationUnique Parks HuntedTotal Confirmed Contacts
1VU3TBUINDDomestic (VU)1026
2VU3JXFINDDomestic (VU)512
34S6RYDLKAInternational (DX)55
4VU3GWNINDDomestic (VU)48
5VU3FBTINDDomestic (VU)48
6SP9RXPPOLInternational (DX)45
7IK4IDFITAInternational (DX)44
8VU3IZVINDDomestic (VU)38
9VU27MJINDDomestic (VU)37
10S21PLBGDInternational (DX)34
11JF7RJMJPNInternational (DX)26
12VU3KOXINDDomestic (VU)26
13VU3HZWINDDomestic (VU)25
14VU2JFAINDDomestic (VU)24
159M8HAZMYSInternational (DX)24
16VU3FWKINDDomestic (VU)24
17VU2DSIINDDomestic (VU)23
18VU3BXIINDDomestic (VU)23
19EV1RBLRInternational (DX)23
20VU2MYSINDDomestic (VU)23
21VU3IBLINDDomestic (VU)23
22VU3YDAINDDomestic (VU)23
23VU22PJINDDomestic (VU)22
24VU2FFWINDDomestic (VU)22
25VU2UCRINDDomestic (VU)22
26EA3BSESPInternational (DX)22
27PD8MDNLDInternational (DX)22
28HF5APOLInternational (DX)22
29VU2MNXINDDomestic (VU)22
30HS0ZPSTHAInternational (DX)22
31IT9RZRITAInternational (DX)14
32VU2VVINDDomestic (VU)13
33VU2GRMINDDomestic (VU)12
34EA4TESPInternational (DX)12
35G5LSIGBRInternational (DX)12
36VU2JFBINDDomestic (VU)12
37VU2JFCINDDomestic (VU)12
38VU3JXBINDDomestic (VU)12
39VU3HIGINDDomestic (VU)12
40VU3YJBINDDomestic (VU)12
417K1CPTJPNInternational (DX)12
42E70ZBIHInternational (DX)12
43BD4UJCHNInternational (DX)12
44BG7SFECHNInternational (DX)12
45JF2VAXJPNInternational (DX)12
46VU3EEEINDDomestic (VU)12
479M2HUSMYSInternational (DX)12
48BG8KIICHNInternational (DX)12
49S21EDBGDInternational (DX)12
50VR2XABHKGInternational (DX)12
519N2WFNPLInternational (DX)12
52VU3KFKINDDomestic (VU)12
53E20JWBTHAInternational (DX)12
549V1AVSGPInternational (DX)11
55YC1RQZIDNInternational (DX)11
56BG5JKZCHNInternational (DX)11
57R3AIRRUSInternational (DX)11
58VU2TLIINDDomestic (VU)11
59DG0BSDEUInternational (DX)11
60JA9KROJPNInternational (DX)11
61SP8DKPOLInternational (DX)11
62EA5UIESPInternational (DX)11
639K5MOKWTInternational (DX)11
64G6DXYGBRInternational (DX)11
65IU2HUQITAInternational (DX)11
66G0BIXGBRInternational (DX)11
67IX1CKNITAInternational (DX)11
68OH2CGUFINInternational (DX)11
69PA2RSDNLDInternational (DX)11
70LA9GXNORInternational (DX)11
71ON4VTBELInternational (DX)11
72SP8DJYPOLInternational (DX)11
73DO1MDEDEUInternational (DX)11
74EA3FHESPInternational (DX)11
75EA5HEUESPInternational (DX)11
76EA5RJESPInternational (DX)11
77DD7EEDEUInternational (DX)11
78DG9XNDEUInternational (DX)11
79DL1HQYDEUInternational (DX)11
80F4IDNFRAInternational (DX)11
81EC5CSWESPInternational (DX)11
82HS0ACTHAInternational (DX)11
83OH6GAZFINInternational (DX)11
84PD3PAMNLDInternational (DX)11
85SP1TJPOLInternational (DX)11
86S21CANBGDInternational (DX)11
87S21HMXBGDInternational (DX)11
88SM3NRYSWEInternational (DX)11
89IZ2QGFITAInternational (DX)11
90JA2KVBJPNInternational (DX)11
91VK8DNTAUSInternational (DX)11
92VU2YKINDDomestic (VU)11
93BG5FZUCHNInternational (DX)11
94BI8AWTCHNInternational (DX)11
95YB1KKIDNInternational (DX)11
96VK6DSAUSInternational (DX)11
97VU2CWINDDomestic (VU)11
98VU2ZRFINDDomestic (VU)11
99VU3XRYINDDomestic (VU)11
100BH6JOGCHNInternational (DX)11
101OK2IHCZEInternational (DX)11
102DF2ETDEUInternational (DX)11
103DL1RIDEUInternational (DX)11
104EA1DRESPInternational (DX)11
105EB3JTESPInternational (DX)11
106F5SGFRAInternational (DX)11
107VU3FXEINDDomestic (VU)11
108VU2XMSINDDomestic (VU)11
109VU3HGZINDDomestic (VU)11
110VU2MZTINDDomestic (VU)11
111VU3IYIINDDomestic (VU)11
112VU3NZZINDDomestic (VU)11
113BA7LUICHNInternational (DX)11
114BG2EWICHNInternational (DX)11
115HS1JZTTHAInternational (DX)11
116S21SESBGDInternational (DX)11
117VU2JDCINDDomestic (VU)11
118EA3GCTESPInternational (DX)11
119HS5AESTHAInternational (DX)11
120IW4DVITAInternational (DX)11
121JK6DXDJPNInternational (DX)11
122DV1KPHLInternational (DX)11
123HS0GWLTHAInternational (DX)11
124HS0ZQSTHAInternational (DX)11
125R4GDRUSInternational (DX)11
126YD6AJAIDNInternational (DX)11
127DJ9FMDEUInternational (DX)11
128E21EICTHAInternational (DX)11
129E25RMWTHAInternational (DX)11
130E25VCRTHAInternational (DX)11
131HS5PPNTHAInternational (DX)11
132SP9RHNPOLInternational (DX)11
133R2BBXRUSInternational (DX)11
134RX3AEXRUSInternational (DX)11
135TA2RTURInternational (DX)11
1364S7ABLKAInternational (DX)11
137BD8FPICHNInternational (DX)11
138BI6NSLCHNInternational (DX)11
139HS7WMUTHAInternational (DX)11
140LX1NOLUXInternational (DX)11
141VU24JDINDDomestic (VU)11
142HS5TXBTHAInternational (DX)11

Interestingly, we seem to have about 142 hunters for parks in India, and a healthy 71% are DX, and the remaining Indian hunter list is dominated by VU3TBU who has 10 unique parks himself and 26 confirmed QSOs. The next on the list is VU3JXF, who has 5 parks and 12 QSOs. The DX hunter who seems to be active is 4S6RYD with 5 parks and 5 QSOs.

Next steps


  1. Please do head over to https://k4fmh.com/2026/01/26/a-snapshot-of-u-s-pota-sites-activators-and-activations/ and https://k4fmh.com/2026/02/08/does-potas-selection-of-u-s-park-entities-shortchange-urban-hams/ to read them (Last accessed on Thursday, 09 Jul 2026). ↩︎

  2. All the data for this is fetched from https://pota.app/ and https://www.hamqth.com/ . The data for each image/chart is provided below the image/chart in a table. If you’d like the scripts used to generate them (for your own use of to help me improve this post), please do email me! ↩︎

  3. I would have loved to analyse this by number of operators in each state as well, so any pointers on this data for India would be great! ↩︎

  4. At the time of writing this post, VU2UCR is activating yet another park! ↩︎

  5. The ranks from 1 (most activated) to 191 (least activated) came from the original sort. The cumulative percentage of the total activations that each park represents is plotted against the rank. (In statistics and economics, this is a type of Lorenz Curve.) ↩︎

  6. At least based on the information they’ve provided on Thursday, 09 Jul 2026 at https://hfi2026.nitk.ac.in/participants↩︎

  7. Data successfully aggregated and verified from the following live endpoints:

     ↩︎
  8. To avoid hitting severe API rate limits or being IP-blocked by these services, this data represents a rolling 24-hour to 30-day snapshot, unlike the 3-year baseline of the contest data above. ↩︎

  9. POTA rules state 10 successful QSOs across all bands and modes put together on a single day (UTC time) as a successful activation. Whereas World Wide Flora & Fauna requires 44 activations at the same location spread over a number of days. ↩︎

  10. It would have been great to plot this on a map too, but we don’t have the data for it. ↩︎

  11. Please note that the license classes/categories in India have undergone numerous changes, for the purposes of this post, I have simply categorised them based on the fact that a VU2 prefix is a general grade operator, whereas a VU3 prefix is a restricted grade operator. ↩︎

  12. Especially if new operators turn up, or there is an uptake in “outdoor” HF activity. ↩︎

  13. Polar bearing chart tracks the physical exploration footprints of Indian POTA activators. Radially bound straight lines map out localized activations, while multi-point runs expand dynamically into continuous filled amoeboid boundaries that encapsulate total operational theater coverage. ↩︎

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